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PROCEEDINGS VOLUME 10134

Medical Imaging 2017: Computer-Aided Diagnosis
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Volume Details

Volume Number: 10134
Date Published: 2 June 2017
Softcover: 155 papers (1208) pages
ISBN: 9781510607132

Table of Contents
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Front Matter: Volume 10134
Author(s): Proceedings of SPIE
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography
Author(s): Marshall Gordon; Lubomir Hadjiiski; Kenny Cha; Heang-Ping Chan; Ravi Samala; Richard H. Cohan; Elaine M. Caoili
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Computer-aided detection of bladder masses in CT urography (CTU)
Author(s): Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Weizer; Ravi K. Samala
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Bladder cancer treatment response assessment using deep learning in CT with transfer learning
Author(s): Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Ravi K. Samala; Richard H. Cohan; Elaine M. Caoili; Chintana Paramagul; Ajjai Alva; Alon Z. Weizer
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Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images
Author(s): Yohannes K. Tsehay; Nathan S. Lay; Holger R. Roth; Xiaosong Wang; Jin Tae Kwak; Baris I. Turkbey; Peter A. Pinto; Brad J. Wood; Ronald M. Summers
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Quantification of oxygen changes in the placenta from BOLD MR image sequences
Author(s): Antonio R. Porras; Gemma Piella; Wonsang You; Catherine Limperopoulos; Marius George Linguraru
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Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping
Author(s): Sebastian Roberto Tarando; Catalin Fetita; Pierre-Yves Brillet
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Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distribution
Author(s): Yiting Xie; Mary Salvatore; Shuang Liu; Artit Jirapatnakul; David F. Yankelevitz; Claudia I. Henschke; Anthony P. Reeves
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3D convolutional neural network for automatic detection of lung nodules in chest CT
Author(s): Sardar Hamidian; Berkman Sahiner; Nicholas Petrick; Aria Pezeshk
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Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features
Author(s): Ling Fu; Jingchen Ma; Yacheng Ren; Youn Seon Han; Jun Zhao
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The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans
Author(s): Nastaran Emaminejad; Pechin Lo; Shahnaz Ghahremani; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray
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Lung lesion detection in FDG-PET/CT with Gaussian process regression
Author(s): Ryosuke Kamesawa; Issei Sato; Shouhei Hanaoka; Yukihiro Nomura; Mitsutaka Nemoto; Naoto Hayashi; Masashi Sugiyama
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Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging
Author(s): Sander Klomp; Fons van der Sommen; Anne-Fré Swager; Svitlana Zinger; Erik J. Schoon; Wouter L. Curvers; Jacques J. Bergman; Peter H. N. de With
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Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography
Author(s): Rie Tachibana; Janne J. Näppi; Toru Hironaka; Se Hyung Kim; Hiroyuki Yoshida
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Fully convolutional neural networks for polyp segmentation in colonoscopy
Author(s): Patrick Brandao; Evangelos Mazomenos; Gastone Ciuti; Renato Caliò; Federico Bianchi; Arianna Menciassi; Paolo Dario; Anastasios Koulaouzidis; Alberto Arezzo; Danail Stoyanov
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Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography
Author(s): Kensuke Umehara; Janne J. Näppi; Toru Hironaka; Daniele Regge; Takayuki Ishida; Hiroyuki Yoshida
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Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography
Author(s): Janne J. Näppi; Perry Pickhardt; David H. Kim; Toru Hironaka; Hiroyuki Yoshida
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A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps
Author(s): Harmanpreet Singh; Lihong C. Li; Marc Pomeroy; Perry J. Pickhardt; Matthew A. Barish; Donald P. Harrington; Zhengrong Liang
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Computer assisted optical biopsy for colorectal polyps
Author(s): Fernando J. Navarro-Avila; Yadira Saint-Hill-Febles; Janis Renner; Peter Klare; Stefan von Delius; Nassir Navab; Diana Mateus
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Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images
Author(s): Ahmed H. Dallal; Chirag Agarwal; Mohammad R. Arbabshirani; Aalpen Patel; Gregory Moore
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Coronary artery calcification identification and labeling in low-dose chest CT images
Author(s): Yiting Xie; Shuang Liu; Albert Miller; Jeffrey A. Miller; Steven Markowitz; Ali Akhund; Anthony P. Reeves
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Coronary artery calcification (CAC) classification with deep convolutional neural networks
Author(s): Xiuming Liu; Shice Wang; Yufeng Deng; Kuan Chen
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Automatic extraction of disease-specific features from Doppler images
Author(s): Mohammadreza Negahdar; Mehdi Moradi; Nripesh Parajuli; Tanveer Syeda-Mahmood
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Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients
Author(s): Guang Yang; Xiahai Zhuang; Habib Khan; Shouvik Haldar; Eva Nyktari; Lei Li; Xujiong Ye; Greg Slabaugh; Tom Wong; Raad Mohiaddin; Jennifer Keegan; David Firmin
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Radiomic modeling of BI-RADS density categories
Author(s): Jun Wei; Heang-Ping Chan; Mark A. Helvie; Marilyn A. Roubidoux; Chuan Zhou; Lubomir Hadjiiski
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Neutrosophic segmentation of breast lesions for dedicated breast CT
Author(s): Juhun Lee; Robert M. Nishikawa; Ingrid Reiser; John M. Boone
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Fully automated breast density assessment from low-dose chest CT
Author(s): Shuang Liu; Laurie R. Margolies; Yiting Xie; David F. Yankelevitz; Claudia I. Henschke; Anthony P. Reeves
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Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk
Author(s): Andrew Oustimov; Aimilia Gastounioti; Meng-Kang Hsieh; Lauren Pantalone; Emily F. Conant; Despina Kontos
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Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer
Author(s): Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Mark A. Helvie; Renaid Kim
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Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning
Author(s): Benjamin Q. Huynh; Natasha Antropova; Maryellen L. Giger
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Superpixel-based classification of gastric chromoendoscopy images
Author(s): Davide Boschetto; Enrico Grisan
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Quantification of CT images for the classification of high- and low-risk pancreatic cysts
Author(s): Lior Gazit; Jayasree Chakraborty; Marc Attiyeh; Liana Langdon-Embry; Peter J. Allen; Richard K. G. Do; Amber L. Simpson
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Automated liver elasticity calculation for 3D MRE
Author(s): Bogdan Dzyubak; Kevin J. Glaser; Armando Manduca; Richard L. Ehman
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The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study
Author(s): Qin Li; Benjamin P. Berman; Justin Schumacher; Yongguang Liang; Marios A. Gavrielides; Hao Yang; Binsheng Zhao; Nicholas Petrick
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Preoperative assessment of microvascular invasion in hepatocellular carcinoma
Author(s): Jayasree Chakraborty; Jian Zheng; Mithat Gönen; William R. Jarnagin; Ronald P. DeMatteo; Richard K. G. Do; Amber L. Simpson
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Combination of lateral and PA view radiographs to study development of knee OA and associated pain
Author(s): Luca Minciullo; Jessie Thomson; Timothy F. Cootes
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Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks
Author(s): Botao Deng; Anas Z. Abidin; Adora M. D'Souza; Mahesh B. Nagarajan; Paola Coan; Axel Wismüller
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Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta
Author(s): Anas Z. Abidin; John Jameson; Robert Molthen; Axel Wismüller
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Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM)
Author(s): Md. Mahmudur Rahman; Nuh Alpaslan
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Organ detection in thorax abdomen CT using multi-label convolutional neural networks
Author(s): Gabriel Efrain Humpire Mamani; Arnaud Arindra Adiyoso Setio; Bram van Ginneken; Colin Jacobs
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Mammographic phenotypes of breast cancer risk driven by breast anatomy
Author(s): Aimilia Gastounioti; Andrew Oustimov; Meng-Kang Hsieh; Lauren Pantalone; Emily F. Conant; Despina Kontos
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Validation of an image registration and segmentation method to measure stent graft motion on ECG-gated CT using a physical dynamic stent graft model
Author(s): Maaike A. Koenrades; Ella M. Struijs; Almar Klein; Henny Kuipers; Robert H. Geelkerken; Cornelis H. Slump
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Automatic detection and quantification of pulmonary arterio-venous malformations in hereditary hemorrhagic telangiectasia
Author(s): Catalin Fetita; Thierry Fortemps de Loneux; Amélé Florence Kouvahe; Mostafa El Hajjam
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Pelvic artery calcification detection on CT scans using convolutional neural networks
Author(s): Jiamin Liu; Le Lu; Jianhua Yao; Mohammadhadi Bagheri; Ronald M. Summers
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Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain
Author(s): Renzo Phellan; Thomas Lindner; Alexandre X. Falcão; Nils D. Forkert
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Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches
Author(s): Hamidreza Rajabzadeh-Oghaz; Nicole Varble; Jason M. Davies; Ashkan Mowla; Hakeem J. Shakir; Ashish Sonig; Hussain Shallwani; Kenneth V. Snyder; Elad I. Levy; Adnan H. Siddiqui; Hui Meng
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Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes
Author(s): Hirohisa Oda; Kanwal K. Bhatia; Masahiro Oda; Takayuki Kitasaka; Shingo Iwano; Hirotoshi Homma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Julia A. Schnabel; Kensaku Mori
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Conditional random field modelling of interactions between findings in mammography
Author(s): Thijs Kooi; Jan-Jurre Mordang; Nico Karssemeijer
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Deep learning and three-compartment breast imaging in breast cancer diagnosis
Author(s): Karen Drukker; Benjamin Q. Huynh; Maryellen L. Giger; Serghei Malkov; Jesus I. Avila; Bo Fan; Bonnie Joe; Karla Kerlikowske; Jennifer S. Drukteinis; Leila Kazemi; Malesa M. Pereira; John Shepherd
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Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI
Author(s): Natasha Antropova; Benjamin Huynh; Maryellen Giger
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Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches
Author(s): Guy Amit; Rami Ben-Ari; Omer Hadad; Einat Monovich; Noa Granot; Sharbell Hashoul
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Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features
Author(s): Bibo Shi; 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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Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses
Author(s): Thijs Kooi; Nico Karssemeijer
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Estimation of retinal vessel caliber using model fitting and random forests
Author(s): Teresa Araújo; Ana Maria Mendonça; Aurélio Campilho
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Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs
Author(s): Ana Maria Mendonça; Beatriz Remeseiro; Behdad Dashtbozorg; Aurélio Campilho
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Automatic detection of diabetic retinopathy features in ultra-wide field retinal images
Author(s): Anastasia Levenkova; Arcot Sowmya; Michael Kalloniatis; Angelica Ly; Arthur Ho
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Detection of retinal changes from illumination normalized fundus images using convolutional neural networks
Author(s): Kedir M. Adal; Peter G. van Etten; Jose P. Martinez; Kenneth Rouwen; Koenraad A. Vermeer; Lucas J. van Vliet
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Joint deep shape and appearance learning: application to optic pathway glioma segmentation
Author(s): Awais Mansoor; Ien Li; Roger J. Packer; Robert A. Avery; Marius George Linguraru
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Deep learning for segmentation of brain tumors: can we train with images from different institutions?
Author(s): David Paredes; Ashirbani Saha; Maciej A. Mazurowski
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Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome children
Author(s): Hongwei Wen; Yue Liu; Shengpei Wang; Zuoyong Li; Jishui Zhang; Yun Peng; Huiguang He
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Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients
Author(s): Nathan Olliverre; Muhammad Asad; Guang Yang; Franklyn Howe; Gregory Slabaugh
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IDH mutation assessment of glioma using texture features of multimodal MR images
Author(s): Xi Zhang; Qiang Tian; Yu-Xia Wu; Xiao-Pan Xu; Bao-Juan Li; Yi-Xiong Liu; Yang Liu; Hong-Bing Lu
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Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics
Author(s): Maciej A. Mazurowski; Kal Clark; Nicholas M. Czarnek; Parisa Shamsesfandabadi; Katherine B. Peters; Ashirbani Saha
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Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma
Author(s): Niha Beig; Jay Patel; Prateek Prasanna; Sasan Partovi; Vinay Varadan; Anant Madabhushi; Pallavi Tiwari
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Effective user guidance in online interactive semantic segmentation
Author(s): Jens Petersen; Martin Bendszus; Jürgen Debus; Sabine Heiland; Klaus H. Maier-Hein
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Cephalometric landmark detection in dental x-ray images using convolutional neural networks
Author(s): Hansang Lee; Minseok Park; Junmo Kim
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Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features
Author(s): Caglar Senaras; Aaron C. Moberly; Theodoros Teknos; Garth Essig; Charles Elmaraghy; Nazhat Taj-Schaal; Lianbo Yu; Metin Gurcan
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Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification
Author(s): Mirek Janatka; Krishan S. Ramdoo; Taran Tatla; Krittin Pachtrachai; Daniel S. Elson; Danail Stoyanov
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Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer
Author(s): Lubomir Hadjiiski; Heang-Ping Chan; Kenny H. Cha; Ashok Srinivasan; Jun Wei; Chuan Zhou; Mark Prince; Silvana Papagerakis
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Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network
Author(s): Ajay Patel; Sil C. van de Leemput; Mathias Prokop; Bram van Ginneken; Rashindra Manniesing
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Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data
Author(s): Rafael Wiemker; Merlijn Sevenster; Heber MacMahon; Feng Li; Sandeep Dalal; Amir Tahmasebi; Tobias Klinder
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Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules
Author(s): Chuan Zhou; Heang-Ping Chan; Jun Wei; Lubomir M. Hadjiiski; Aamer Chughtai; Ella A. Kazerooni
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Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches
Author(s): Haeil Lee; Hansang Lee; Minseok Park; Junmo Kim
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Lung nodule malignancy prediction using multi-task convolutional neural network
Author(s): Xiuli Li; Yueying Kao; Wei Shen; Xiang Li; Guotong Xie
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Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset
Author(s): Matthew C. Hancock; Jerry F. Magnan
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Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes
Author(s): Dongdong Yu; Yali Zang; Di Dong; Mu Zhou; Olivier Gevaert; Mengjie Fang; Jingyun Shi; Jie Tian
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Support vector machines for prostate lesion classification
Author(s): Andy Kitchen; Jarrel Seah
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Prostate cancer diagnosis using deep learning with 3D multiparametric MRI
Author(s): Saifeng Liu; Huaixiu Zheng; Yesu Feng; Wei Li
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Detection of prostate cancer on multiparametric MRI
Author(s): Jarrel C. Y. Seah; Jennifer S. N. Tang; Andy Kitchen
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Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks
Author(s): Alireza Mehrtash; Alireza Sedghi; Mohsen Ghafoorian; Mehdi Taghipour; Clare M. Tempany; William M. Wells; Tina Kapur; Parvin Mousavi; Purang Abolmaesumi; Andriy Fedorov
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Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism
Author(s): Fermín Segovia; Diego Salas-Gonzalez; Juan M. Górriz; Javier Ramírez; Francisco J. Martínez-Murcia
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Automated method to compute Evans index for diagnosis of idiopathic normal pressure hydrocephalus on brain CT images
Author(s): Noriyuki Takahashi; Toshibumi Kinoshita; Tomomi Ohmura; Eri Matsuyama; Hideto Toyoshima
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Case-based statistical learning applied to SPECT image classification
Author(s): Juan M. Górriz; Javier Ramírez; I. A. Illán; Francisco J. Martínez-Murcia; Fermín Segovia; Diego Salas-Gonzalez; A. Ortiz
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Fine-tuning convolutional deep features for MRI based brain tumor classification
Author(s): Kaoutar B. Ahmed; Lawrence O. Hall; Dmitry B. Goldgof; Renhao Liu; Robert A. Gatenby
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Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI
Author(s): Syeda Maryam; Laura McCrackin; Mark Crowley; Yogesh Rathi; Oleg Michailovich
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Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury
Author(s): Krishna N. Keshavamurthy; Owen P. Leary; Lisa H. Merck; Benjamin Kimia; Scott Collins; David W. Wright; Jason W. Allen; Jeffrey F. Brock; Derek Merck
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Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasets
Author(s): Sahand Talai; Kai Boelmans; Jan Sedlacik; Nils D. Forkert
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Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme
Author(s): Kevin P. Gaffney; Faranak Aghaei; James Battiste; Bin Zheng
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Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks
Author(s): Mohammadhassan Izadyyazdanabadi; Evgenii Belykh; Nikolay Martirosyan; Jennifer Eschbacher; Peter Nakaji; Yezhou Yang; Mark C. Preul
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Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning
Author(s): Javier Villafruela; Sebastian Crites; Bastian Cheng; Christian Knaack; Götz Thomalla; Bijoy K. Menon; Nils D. Forkert
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Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI
Author(s): Linmin Pei; Syed M. S. Reza; Wei Li; Christos Davatzikos; Khan M. Iftekharuddin
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Feature extraction using convolutional neural network for classifying breast density in mammographic images
Author(s): Ricardo L. Thomaz; Pedro C. Carneiro; Ana C. Patrocinio
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An ensemble-based approach for breast mass classification in mammography images
Author(s): Patricia B. Ribeiro; João P. Papa; Roseli A. F. Romero
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A novel deep learning-based approach to high accuracy breast density estimation in digital mammography
Author(s): Chul Kyun Ahn; Changyong Heo; Heongmin Jin; Jong Hyo Kim
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Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?
Author(s): Joseph Ryan Wong Sik Hee; Elaine F. Harkness; Soujanya Gadde; Yit Y. Lim; Anthony J. Maxwell; D. Gareth Evans; Anthony Howell; Susan M. Astley
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Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN
Author(s): Xiangrong Zhou; Takuya Kano; Hiromi Koyasu; Shuo Li; Xinxin Zhou; Takeshi Hara; Masayuki Matsuo; Hiroshi Fujita
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Automated detection of microcalcification clusters in mammograms
Author(s): Vikrant A. Karale; Sudipta Mukhopadhyay; Tulika Singh; Niranjan Khandelwal; Anup Sadhu
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Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network
Author(s): Yuya Hiramatsu; Chisako Muramatsu; Hironobu Kobayashi; Takeshi Hara; Hiroshi Fujita
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Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images
Author(s): Karem D. Marcomini; Eduardo F. C. Fleury; Vilmar M. Oliveira; Antonio A. O. Carneiro; Homero Schiabel; Robert M. Nishikawa
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A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images
Author(s): Helder C. R. de Oliveira; Diego R. Moraes; Gustavo A. Reche; Lucas R. Borges; Juliana H. Catani; Nestor de Barros; Carlos F. E. Melo; Adilson Gonzaga; Marcelo A. C. Vieira
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The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculation
Author(s): Kalyani P. Nair; Elaine F. Harkness; Soujanye Gadde; Yit Y. Lim; Anthony J. Maxwell; Emmanouil Moschidis; Philip Foden; Jack Cuzick; Adam Brentnall; D. Gareth Evans; Anthony Howell; Susan M. Astley
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Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval
Author(s): Qingliang Li; Weili Shi; Huamin Yang; Huimao Zhang; Guoxin Li; Tao Chen; Kensaku Mori; Zhengang Jiang
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Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
Author(s): Bibo Shi; 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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Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks
Author(s): Liset Vázquez Romaguera; Marly Guimarães Fernandes Costa; Francisco Perdigón Romero; Cicero Ferreira Fernandes Costa Filho
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A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical images
Author(s): Fátima L. S. Nunes; Leila C. C. Bergamasco; Pedro H. Delmondes; Miguel A. G. Valverde; Marcel P. Jackowski
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Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric population
Author(s): Douglas P. Perrin; Alejandra Bueno; Andrea Rodriguez; Gerald R. Marx; Pedro J. del Nido
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Fully automated calculation of cardiothoracic ratio in digital chest radiographs
Author(s): Lin Cong; Luan Jiang; Gang Chen; Qiang Li
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Automatic grade classification of Barretts Esophagus through feature enhancement
Author(s): Noha Ghatwary; Amr Ahmed; Xujiong Ye; Hamid Jalab
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False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonography
Author(s): Marc Pomeroy; Lihong C. Li; Hao Han; Xinzhou Wei; Perry J. Pickhardt; Zhengrong Liang
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A new framework for detection of initial flat polyp candidates based on a dual level set competition model
Author(s): Huafeng Wang; Lihong C. Li; Xinzhou Wei; Wanquan Liu; Yuehai Wang; Zhengrong Liang
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Electronic cleansing for CT colonography using spectral-driven iterative reconstruction
Author(s): Radin A. Nasirudin; Janne J. Näppi; Toru Hironaka; Rie Tachibana; Hiroyuki Yoshida
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Retinal health information and notification system (RHINO)
Author(s): Behdad Dashtbozorg; Jiong Zhang; Samaneh Abbasi-Sureshjani; Fan Huang; Bart M. ter Haar Romeny
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Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma
Author(s): Ryusuke Watanabe; Chisako Muramatsu; Kyoko Ishida; Akira Sawada; Yuji Hatanaka; Tetsuya Yamamoto; Hiroshi Fujita
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Inferring diagnosis and trajectory of wet age-related macular degeneration from OCT imagery of retina
Author(s): John M. Irvine; Nastaran Ghadar; Steve Duncan; David Floyd; David O'Dowd; Kristie Lin; Tom Chang
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Effect of two different preprocessing steps in detection of optic nerve head in fundus images
Author(s): Meysam Tavakoli; Mahdieh Nazar; Alireza Mehdizadeh
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Retinal SD-OCT image-based pituitary tumor screening
Author(s): Min He; Weifang Zhu; Xinjian Chen
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Evaluation of age-related changes with cross-sectional CT imaging of teeth
Author(s): Tatsumasa Fukui; Kanade Kita; Hiromasa Kamemoto; Wataru Nishiyama; Hiroyasu Yoshida; Yukihiro Iida; Akitoshi Katsumata; Chisako Muramatsu; Hiroshi Fujita
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An introductory analysis of digital infrared thermal imaging guided oral cancer detection using multiresolution rotation invariant texture features
Author(s): M. Chakraborty; R. Das Gupta; S. Mukhopadhyay; N. Anjum; S. Patsa; J. G. Ray
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Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identification
Author(s): Yuma Miki; Chisako Muramatsu; Tatsuro Hayashi; Xiangrong Zhou; Takeshi Hara; Akitoshi Katsumata; Hiroshi Fujita
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Computer-assisted quantification of the skull deformity for craniosynostosis from 3D head CT images using morphological descriptor and hierarchical classification
Author(s): Min Jin Lee; Helen Hong; Kyu Won Shim; Yong Oock Kim
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Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images
Author(s): Yunzhi Wang; Yuchen Qiu; Theresa Thai; Kathleen Moore; Hong Liu; Bin Zheng
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An improved method for pancreas segmentation using SLIC and interactive region merging
Author(s): Liyuan Zhang; Huamin Yang; Weili Shi; Yu Miao; Qingliang Li; Fei He; Wei He; Yanfang Li; Huimao Zhang; Kensaku Mori; Zhengang Jiang
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Advancements in automated tissue segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patients
Author(s): Elanchezhian Somasundaram; Robert Kaufman; Samuel Brady
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Texture analysis of common renal masses in multiple MR sequences for prediction of pathology
Author(s): Uyen N. Hoang; Ashkan A. Malayeri; Nathan S. Lay; Ronald M. Summers; Jianhua Yao
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The effects of TIS and MI on the texture features in ultrasonic fatty liver images
Author(s): Yuan Zhao; Xinyao Cheng; Mingyue Ding
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Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis
Author(s): Wenqing Sun; Bin Zheng; Xia Huang; Wei Qian
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Automatic lung nodule graph cuts segmentation with deep learning false positive reduction
Author(s): Wenqing Sun; Xia Huang; Tzu-Liang Bill Tseng; Wei Qian
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Detection of juxta-pleural lung nodules in computed tomography images
Author(s): Guilherme Aresta; António Cunha; Aurélio Campilho
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Kernel descriptors for chest x-ray analysis
Author(s): Gergely Gy. Orbán; Gábor Horváth
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