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PROCEEDINGS VOLUME 11314

Medical Imaging 2020: Computer-Aided Diagnosis
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Volume Details

Volume Number: 11314
Date Published: 21 May 2020

Table of Contents
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Front Matter: Volume 11314
Author(s): Proceedings of SPIE
A hypersensitive breast cancer detector (Conference Presentation)
Author(s): Stefano Pedemonte
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Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index
Author(s): Yifan Peng; Rui Hou; Yinhao Ren; Lars J. Grimm; Jeffrey R. Marks; E. Shelley Hwang; Joseph Y. Lo
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Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift
Author(s): Alexej Gossmann; Kenny H. Cha; Xudong Sun
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A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography
Author(s): Rui Hou; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; E. Shelley Hwang; Joseph Y. Lo
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Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis
Author(s): Sadanand Singh; Thomas Paul Matthews; Meet Shah; Brent Mombourquette; Trevor Tsue; Aaron Long; Ranya Almohsen; Stefano Pedemonte; Jason Su
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Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble
Author(s): Angshuman Paul; Yu-Xing Tang; Ronald M. Summers
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Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features
Author(s): Anindo Saha; Fakrul I. Tushar; Khrystyna Faryna; Vincent M. D'Anniballe; Rui Hou; Maciej A. Mazurowski; Geoffrey D. Rubin M.D.; Joseph Y. Lo
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Bone suppression on chest radiographs with adversarial learning
Author(s): Jia Liang; Yu-Xing Tang; You-Bao Tang; Jing Xiao; Ronald M. Summers
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Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT
Author(s): Jordan D. Fuhrman; Rowena Yip; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger
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Comparison of CNN architectures and training strategies for quantitative analysis of idiopathic interstitial pneumonia
Author(s): Simon Rennotte; Pierre-Yves Brillet; Catalin Fetita
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Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets
Author(s): Jennie Crosby; Thomas Rhines; Feng Li; Heber MacMahon; Maryellen Giger
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Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage
Author(s): Arko Barman; Victor Lopez-Rivera; Songmi Lee; Farhaan S. Vahidy; James Z. Fan; Sean I. Savitz; Sunil A. Sheth; Luca Giancardo
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Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis
Author(s): Mina Rezaei; Tomoki Uemura; Janne Näppi; Hiroyuki Yoshida; Christoph Lippert; Christoph Meinel
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Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults
Author(s): Mikhail Milchenko; Pamela LaMontagne; Daniel Marcus
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A hyperacute stroke segmentation method using 3D U-Net integrated with physicians’ knowledge for NCCT
Author(s): Takuya Fuchigami; Sadato Akahori; Takayuki Okatani; Yuanzhong Li
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Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction
Author(s): Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Khan M. Iftekharuddin
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Organ segmentation from full-size CT images using memory-efficient FCN
Author(s): Chenglong Wang; Masahiro Oda; Kensaku Mori
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Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation
Author(s): Sai Aditya Sriram; Angshuman Paul; Yingying Zhu; Veit Sandfort; Perry J. Pickhardt; Ronald M. Summers
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Robust hepatic vessels segmentation model based on noisy dataset
Author(s): Li Liu; Jiang Tian; Cheng Zhong; Zhongchao Shi; Feiyu Xu
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A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer
Author(s): Amogh Hiremath; Rakesh Shiradkar; Nathaniel Braman; Prateek Prasanna; Art Rastinehad; Andrei Purysko; Anant Madabhushi
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Integration of optical and virtual colonoscopy images for enhanced classification of colorectal polyps
Author(s): Marc Pomeroy; Yi Wang; Anushka Banerjee; Almas Abbasi; Matthew Barish; Edward Sun; Juan Carlos Bucobo; Perry J. Pickhardt; Zhengrong Liang
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Accurately identifying vertebral levels in large datasets
Author(s): Daniel C. Elton; Veit Sandfort; Perry J. Pickhardt; Ronald M. Summers
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Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation
Author(s): Jimin Tan; Bofei Zhang; Kyunghyun Cho; Gregory Chang; Cem M. Deniz
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Deciphering tissue relaxation parameters from a single MR image using deep learning
Author(s): Yan Wu; Yajun Ma; Jiang Du; Lei Xing
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Automatic Kellgren-Lawrence grade estimation driven deep learning algorithms
Author(s): Nianyi Li; Albert Swiecicki; Nicholas Said; Jonathan O'Donnell; William A. Jiranek; Maciej A. Mazurowski
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Computer-aided detection of focal bone metastases from whole-body multi-modal MRI
Author(s): Jakub Ceranka; Frédéric Lecouvet; Johan de Mey; Jef Vandemeulebroucke
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U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis
Author(s): Tomoki Uemura; Chinatsu Watari; Janne J. Näppi; Toru Hironaka; Hyoungseop Kim; Hiroyuki Yoshida
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Dependence of radiomics features on CT image acquisition and reconstruction parameters using a cadaveric liver
Author(s): Joseph J. Foy; Inna H. Gertsenshteyn; Hania Al-Hallaq; Samuel G. Armato III; William F. Sensakovic
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Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers
Author(s): Amrish Selvam; Jacob Antunes; Kaustav Bera; Asya Ofshteyn; Justin T. Brady; Katherine Bingmer; Kenneth Friedman; Sharon Stein; Rajmohan Paspulati; Andrei Purysko; Matthew Kalady; Anant Madabhushi; Satish E. Viswanath
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Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis
Author(s): Raymond J. Acciavatti; Eric A. Cohen; Omid Haji Maghsoudi; Aimilia Gastounioti; Lauren Pantalone; Meng-Kang Hsieh; Emily F. Conant; Christopher G. Scott; Stacey J. Winham; Karla Kerlikowske; Celine Vachon; Andrew D. A. Maidment; Despina Kontos
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Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast
Author(s): Heather M. Whitney; Maryellen L. Giger
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Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers
Author(s): Sehwa Moon; Dahim Choi; Ji-Yeon Lee; Myoung Hee Kim; Helen Hong; Bong-Seog Kim; Jang-Hwan Choi
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Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI
Author(s): Zachary Papanastasopoulos; Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Chintana Paramagul; Mark A. Helvie; Colleen H. Neal
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Deep learning predicts breast cancer recurrence in analysis of consecutive MRIs acquired during the course of neoadjuvant chemotherapy
Author(s): Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen Giger
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Using ResNet feature extraction in computer-aided diagnosis of breast cancer on 927 lesions imaged with multiparametric MRI
Author(s): Qiyuan Hu; Heather M. Whitney; Maryellen L. Giger
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Interpretable deep learning regression for breast density estimation on MRI
Author(s): Bas H. M. van der Velden; Max A. A. Ragusi; Markus H. A. Janse; Claudette E. Loo; Kenneth G. A. Gilhuijs
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MRI image harmonization using cycle-consistent generative adversarial network
Author(s): Gourav Modanwal; Adithya Vellal; Mateusz Buda; Maciej A. Mazurowski
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Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models
Author(s): Nils Gessert; Marcel Bengs; Alexander Schlaefer
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A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification
Author(s): Hamidullah Binol; M. Khalid Khan Niazi; Alisha Plotner; Jennifer Sopkovich; Benjamin H. Kaffenberger; Metin N. Gurcan
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Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks
Author(s): Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Sathvik Koneru
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Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesis
Author(s): Yue Li; Zheng Xie; Zilong He; Xiangyuan Ma; Yanhui Guo; Weiguo Chen; Yao Lu
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Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancer
Author(s): Juhun Lee; Robert M. Nishikawa
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Weakly-supervised US breast tumor characterization and localization with a box convolution network
Author(s): Chanho Kim; Won Hwa Kim; Hye Jung Kim; Jaeil Kim
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Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model
Author(s): Emine Doganay; Yahong Luo; Long Gao; Puchen Li; Wendie Berg; Shandong Wu
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Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks
Author(s): Heike Carolus; Andra-Iza Iuga; Tom Brosch; Rafael Wiemker; Frank Thiele; Anna Höink; David Maintz; Michael Püsken; Tobias Klinder
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Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations
Author(s): Hidir Cem Altun; Grzegorz Chlebus; Colin Jacobs; Hans Meine; Bram van Ginneken; Horst K. Hahn
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Lung vessel suppression and its effect on nodule detection in chest CT scans
Author(s): Xiaomeng Gu; Weiyang Xie; Qiming Fang; Jun Zhao; Qiang Li
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Hybrid deep-learning model for volume segmentation of lung nodules in CT images
Author(s): Yifan Wang; Chuan Zhou; Heang-Ping Chan; Lubomir M. Hadjiiski; Jun Wei; Aamer Chughtai; Ella A. Kazerooni
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Machine learning and deep learning approaches for classification of sub-cm lung nodules in CT scans (Conference Presentation)
Author(s): Rohan Abraham; Ian Janzen; Saeed Seyyedi; Sukhinder Khattra; John Mayo; Ren Yuan; Renelle Myers; Stephen Lam; Calum E. MacAulay
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EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography
Author(s): Yannan Lin; Leihao Wei; Simon X. Han; Denise R. Aberle; William Hsu
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Will AI make me a better doctor? (Conference Presentation)
Author(s): Jonathan Wiener
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Weakly-supervised lesion segmentation on CT scans using co-segmentation
Author(s): Vatsal Agarwal; Youbao Tang; Jing Xiao; Ronald M. Summers
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Quality controlled segmentation to aid disease detection
Author(s): Mehdi Moradi; Ken C. L. Wong; Alexandros Karargyris; Tanveer Syeda-Mahmood
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Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
Author(s): Marcel Bengs; Stephan Westermann; Nils Gessert; Dennis Eggert; Andreas O. H. Gerstner; Nina A. Mueller; Christian Betz; Wiebke Laffers; Alexander Schlaefer
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Decision fusion on image analysis and tympanometry to detect eardrum abnormalities
Author(s): Hamidullah Binol; Aaron C. Moberly; M. Khalid Khan Niazi; Garth Essig; Jay Shah; Charles Elmaraghy; Theodoros Teknos; Nazhat Taj-Schaal; Lianbo Yu; Metin N. Gurcan
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Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study
Author(s): Friso G. Heslinga; Josien P. W. Pluim; A.J.H.M. Houben; Miranda T. Schram; Ronald M. A. Henry; Coen D. A. Stehouwer; Marleen J. van Greevenbroek; Tos T.J.M. Berendschot; Mitko Veta
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Segmentation of retinal low-cost optical coherence tomography images using deep learning
Author(s): Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch; Gereon Hüttmann; Johann Roider; Mattias P. Heinrich; Heinz Handels
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Attention-guided classification of abnormalities in semi-structured computed tomography reports
Author(s): Khrystyna Faryna; Fakrul I. Tushar; Vincent M. D'Anniballe; Rui Hou; Geoffrey D. Rubin; Joseph Y. Lo
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Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears
Author(s): Feng Yang; Nicolas Quizon; Hang Yu; Kamolrat Silamut; Richard J. Maude; Stefan Jaeger; Sameer Antani
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Segmentation of uterus and placenta in MR images using a fully convolutional neural network
Author(s): Maysam Shahedi; James D. Dormer; Anusha Devi T. T. ; Quyen N. Do; Yin Xi; Matthew A. Lewis; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei
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A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps
Author(s): Jiaxing Tan; Shu Zhang; Weiguo Cao; Yongfeng Gao; Lihong Li; Yumei Huo; Zhengrong Liang
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Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation
Author(s): Daniel Hoklai Chapman-Sung; Lubomir Hadjiiski; Dhanuj Gandikota; Heang-Ping Chan; Ravi Samala; Elaine M. Caoili; Richard H. Cohan; Alon Weizer; Ajjai Alva; Chuan Zhou
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Attention-deficit/hyperactivity disorder prediction using graph convolutional networks
Author(s): Seyed Saman Saboksayr; John J. Foxe; Axel Wismüller
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An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI
Author(s): Mariana Pereira; Irene Fantini; Roberto Lotufo; Leticia Rittner
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Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls
Author(s): Yashas Hiremath; Marwa Ismail; Ruchika Verma; Jacob Antunes; Pallavi Tiwari
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Multi-modal deep learning for predicting progression of Alzheimer's disease using bi-linear shake fusion
Author(s): Tsubasa Goto; Caihua Wang; Yuanzhong Li; Yukihiro Tsuboshita
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Large-scale Extended Granger Causality (lsXGC) for classification of Autism Spectrum Disorder from resting-state functional MRI
Author(s): Axel Wismüller; John J. Foxe; Paul Geha; Seyed Saman Saboksayr
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Prognostic power of the human psoas muscles FDG metabolism in amyotrophic lateral sclerosis
Author(s): Rita Lai; Daniela Schenone; Gianmario Sambuceti; Anna Maria Massone; Cristina Campi; Adriano Chiò; Claudia Caponnetto; Angelina Cistaro; Matteo Bauckneht; Vanessa Cossu; Silvia Morbelli; Cecilia Marini; Michele Piana
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DCGANs for realistic breast mass augmentation in x-ray mammography
Author(s): Basel Alyafi; Oliver Diaz; Robert Marti
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Case-based repeatability of machine learning classification performance on breast MRI
Author(s): Michael Vieceli; Amy Van Dusen; Karen Drukker; Hiroyuki Abe; Maryellen L. Giger; Heather M. Whitney
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Genetic algorithm for machine learning architecture selection for breast MRI classification
Author(s): Peter S. Carras; Carina Pereira; Debosmita Biswas; Christoph Lee; Savannah Partridge; Adam M. Alessio
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Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation
Author(s): Stijn De Buck; Jeroen Bertels; Chelsey Vanbilsen; Tanguy Dewaele; Chantal Van Ongeval; Hilde Bosmans; Jan Vandevenne; Paul Suetens
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Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach
Author(s): Erick Rodríguez-Esparza; Laura A. Zanella-Calzada; Diego Oliva; Marco Pérez-Cisneros
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Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial network
Author(s): Yuanpin Zhou; Jun Wei; Mark A. Helvie; Heang-ping Chan; Chuan Zhou; Lubomir Hadjiiski; Yao Lu
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Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images
Author(s): Albert Swiecicki; Mateusz Buda; Ashirbani Saha; Nianyi Li; Sujata V. Ghate; Ruth Walsh; Maciej A. Mazurowski
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3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation
Author(s): William Funke; Benjamin Veasey; Jacek Zurada; Hichem Frigui; Amir Amini
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Weak supervision in convolutional neural network for semantic segmentation of diffuse lung diseases using partially annotated dataset
Author(s): Yuki Suzuki; Kazuki Yamagata; Masahiro Yanagawa; Shoji Kido; Noriyuki Tomiyama
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False positive reduction of vasculature for pulmonary nodule detection
Author(s): Colin B. Hansen; Yiyuan Zhao; Halid Yerebakan; Luca Bogoni; Anna Jerebko
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Multi-task learning for mortality prediction in LDCT images
Author(s): Hengtao Guo; Melanie Kruger; Ge Wang; Mannudeep K. Kalra; Pingkun Yan
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Association analysis of SNPs with CT image-based phenotype of emphysema progression in heavy smokers
Author(s): Hidenobu Suzuki; Mikio Matsuhiro; Yoshiki Kawata; Noboru Niki; Issei Imoto; Yasutaka Nakano; Masahiko Kusumoto; Masahiro Kaneko
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Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data
Author(s): Phuong Nguyen; David Chapman; Sumeet Menon; Michael Morris; Yelena Yesha
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Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classification
Author(s): Panagiotis Gonidakis; Bart Jansen; Jef Vandemeulebroucke
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Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study
Author(s): Babak Haghighi; Peter B. Noël; Eric Cohen; Lauren Pantalone; Anil Vachani; Katharine A. Rendle; Jocelyn Wainwright; Chelsea Saia; Eduardo Mortani Barbosa Jr.; Despina Kontos
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Deep learning methods for segmentation of lines in pediatric chest radiographs
Author(s): Ryan Sullivan; Greg Holste; Jonathan Burkow; Adam Alessio
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Differential diagnosis of pulmonary nodules using 3D CT images
Author(s): Takeru Kageyama; Yoshiki Kawata; Noboru Niki; Masahiko Kusumoto; Yoshiki Aokage; Genichirou Ishii; Hironobu Ohmatsu; Takaaki Tsuchida; Yuji Matsumoto; Kenji Eguchi; Masahiro Kaneko
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Radiomics-based texture analysis of idiopathic pulmonary fibrosis for genetic and survival predictions
Author(s): Jorie D. Budzikowski; Ahmed A. Rashid; Joseph J. Foy; Jonathan H. Chung; Imre Noth; Samuel G. Armato III
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Lung tumor segmentation using coupling-net with shape-focused prior on chest CT images of non-small cell lung cancer patients
Author(s): Sohyun Byun; Julip Jung; Helen Hong; Hoonil Oh; Bong-seog Kim
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Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging
Author(s): Dong Wei; Yiming Li; Yinyan Wang; Tianyi Qian; Yefeng Zheng
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Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks
Author(s): Mohammad Mahdi Shiraz Bhurwani; Mohammad Waqas; Kyle A. Williams; Ryan A. Rava; Alexander R. Podgorsak; Kenneth V. Snyder; Elad I. Levy; Jason M. Davies; Adnan H. Siddiqui; Ciprian N. Ionita
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Prediction of MCI to AD risk of conversion survival models: qMRI vs CSF measures and cognitive assessments
Author(s): Jorge Orozco-Sanchez; Jose Tamez-Peña
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Diagnosis of Parkinson's Disease with a hybrid feature selection algorithm based on a discrete artificial bee colony
Author(s): Haolun Li; Rui Zong; Xin Xu; Long Sheng Pan; Qionghai Dai; Feng Xu; Hao Gao; Wensheng Wang
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Advanced magnetic resonance imaging based algorithm for local grading of glioma
Author(s): Evan D. H. Gates; Jonathan S. Lin; Jeffrey S. Weinberg; Sujit S. Prabhu; Jackson Hamilton; John D. Hazle; Gregory N. Fuller; Veera Baladandayuthapani; David T. Fuentes; Dawid Schellingerhout
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Neural networks for in situ detection of glioma infiltration using optical coherence tomography
Author(s): Ronald M. Juarez-Chambi; Carmen Kut; Kaisorn L. Chaichana; Alfredo Quinones-Hinojosa; Xingde Li; Javier Jo
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A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging data
Author(s): Hooman Rokham; Haleh Falakshahi; Vince D. Calhoun
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Multi-resolution CNN for brain vessel segmentation from cerebrovascular images of intracranial aneurysm: a comparison of U-Net and DeepMedic
Author(s): Tatsat R. Patel; Nikhil Paliwal; Prakhar Jaiswal; Muhammad Waqas; Maxim Mokin; Adnan H. Siddiqui; Hui Meng; Rahul Rai; Vincent Tutino
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Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery
Author(s): Yang Lei; Zhen Tian; Shannon Kahn; Walter J. Curran; Tian Liu; Xiaofeng Yang
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Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net
Author(s): Yabo Fu; Yang Lei; Tonghe Wang; Xiaojun Jiang; Walter J. Curran; Tian Liu; Hui-kuo Shu; Xiaofeng Yang
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Computer-assisted quantification of surgical outcome in infants with sagittal craniosynostosis in 3D head CT images using mean normal skull model
Author(s): Min Jin Lee; Helen Hong; Kyu Won Shim
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"Lesion-habitat" radiomics to distinguish radiation necrosis from tumor recurrence on post-treatment MRI in metastatic brain tumors
Author(s): Ramon Correa; Qiu Lei; Jonathan Chen; Johnathan Zeng; Jennifer Yu; Pallavi Tiwari
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First steps into endoscopic video analysis for Barrett’s cancer detection: challenges and opportunities
Author(s): Joost van der Putten; Jeroen de Groof; Fons van der Sommen; Maarten Struyvenberg; Svitlana Zinger; Wouter Curvers; Erik Schoon; Jacques Bergman; Peter H. N. de With
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Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI
Author(s): Pritesh Mehta; Michela Antonelli; Hashim Ahmed; Mark Emberton; Shonit Punwani; Sebastien Ourselin
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Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images
Author(s): Hirohisa Oda; Kohei Nishio; Takayuki Kitasaka; Hizuru Amano; Aitaro Takimoto; Hiroo Uchida; Kojiro Suzuki; Hayato Itoh; Masahiro Oda; Kensaku Mori
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Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography
Author(s): Tomoki Uemura; Janne J. Näppi; Toru Hironaka; Hyoungseop Kim; Hiroyuki Yoshida
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Machine learning methods to predict presence of intestine damage in patients with Crohn’s disease
Author(s): Binu E. Enchakalody; Brianna Henderson; Stewart C. Wang; Grace L. Su; Ashish P. Wasnik; Mahmoud M. Al-Hawary; Ryan W. Stidham
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The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning
Author(s): Levi Verhage; Joost van der Putten; Fons van der Sommen; Jeroen de Groof; Maarten Struyvenberg; Peter H. N. de With
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Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis
Author(s): Hayato Itoh; Zhongyang Lu; Yuichi Mori; Masashi Misawa; Masahiro Oda; Shin-ei Kudo; Kensaku Mori
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Computer-aided staging of gastric cancer using radiomics signature on computed tomography imaging
Author(s): Lili Wang; Jie Wu; Guang Yang; Bin Zheng
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Automatic polyp detection and localization during colonoscopy using convolutional neural networks
Author(s): Diego Bravo; Josue Ruano; Martín Gómez; Eduardo Romero
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Performance investigation of deep learning vs. classifier for polyp differentiation via texture features
Author(s): David Liang; David Wang; Alice Wei; Yeseul Choi; Shu Zhang; Marc J. Pomeroy; Perry J. Pickhardt
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Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography
Author(s): Janne J. Näppi; Tomoki Uemura; Se Hyung Kim; Hyoungseop Kim; Hiroyuki Yoshida
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A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps
Author(s): Shu Zhang; Weiguo Cao; Marc Pomeroy; Yongfeng Gao; Jiaxing Tan; Zhengrong Liang
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Deformation robust texture features for polyp classification via CT colonography
Author(s): Weiguo Cao; Marc J. Pomeroy; Shu Zhang; Perry J. Pickhardt; Hongbing Lu; Zhengrong Liang
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Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography
Author(s): R. Alfano; G. S. Bauman; J. Thiessen; I. Rachinsky; W. Pavlosky; J. Butler; M. Gaed; M. Moussa; J. A. Gomez; J. L. Chin; S. Pautler; A. D. Ward
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Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results
Author(s): Rakesh Shiradkar; Ruyuan Zuo; Amr Mahran; Lee Ponsky; Sree Harsha Tirumani; Anant Madabhushi
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Automatic liver segmentation in abdominal CT images using combined 2.5D and 3D segmentation networks with high-score shape prior for radiotherapy treatment planning
Author(s): Julip Jung; Helen Hong; Taesik Jeong; Jinsil Seong; Jin Sung Kim
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Prediction of prostate cancer aggressiveness using quantitative radiomic features using multi-parametric MRI
Author(s): Julip Jung; Helen Hong; Young-Gi Kim; Sung Il Hwang; Hak Jong Lee
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Renal parenchyma segmentation in abdominal CT images based on deep convolutional neural networks with similar atlas selection and transformation
Author(s): Hyeonjin Kim; Helen Hong; Koon Ho Rha
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Bladder wall segmentation using U-net based deep learning
Author(s): Michael Ivanitskiy; Lubomir Hadjiiski; Heang-Ping Chan; Ravi Samala; Richard H. Cohan; Elaine M. Caoili; Alon Weizer; Ajjai Alva; Jun Wei; Chuan Zhou
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Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression
Author(s): Hansang Lee; Helen Hong; Jinsil Seong; Jin Sung Kim; Junmo Kim
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CNN-based detection of distal tibial fractures in radiographic images in the setting of open growth plates
Author(s): Zbigniew A. Starosolski; J. Herman Kan; Ananth Annapragada
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Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms
Author(s): Albert Swiecicki; Nicholas Said; Jonathan O'Donnell; Mateusz Buda; Nianyi Li; William A. Jiranek; Maciej A. Mazurowski
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Knee orientation detection in MR scout scans using 3D U-net
Author(s): Chen Li; Parmeet Bhatia; Yu Zhao
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Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics
Author(s): Xiuxiu He; Bang Jun Guo; Tonghe Wang; Yang Lei; Tian Liu; Long Jiang Zhang; Xiaofeng Yang
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Siamese neural networks for the classification of high-dimensional radiomic features
Author(s): Abhishaike Mahajan; James Dormer; Qinmei Li; Deji Chen; Zhenfeng Zhang; Baowei Fei
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Survey of image denoising methods for medical image classification
Author(s): Peter F. Michael; Hong-Jun Yoon
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