Share Email Print
cover

Proceedings Paper

Preliminary study of benign and malignant differentiation of small pulmonary nodules in lung CT images by using deep learning convolutional neural network
Author(s): Yangfan Ni; Haozhe Huang; Dezhong Zheng; Jianyong Sun; Yuanyuan Yang; Mingqing Wang; Yiping Gu; Ming Li; Guozhen Zhang; Wentao Li; Jianguo Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The benign and malignant differential diagnosis of small pulmonary nodules (diameter < 20 mm) found in lung CT images is big challenges for most of radiologists. Here, we presented our preliminary study of benign and malignant differentiation of small pulmonary nodules in lung CT images by using deep learning Convolutional Neural Network (CNN). The 921 cases with small benign and malignant pulmonary nodules confirmed by pathology were collected from three data sources and were used to train and validate the CNN. The preliminary results of AUCs of ROC curves for differentiating benign and malignant pulmonary small nodules with various types and sizes of solid, semi-solid and ground glass nodules were presented and discussed.

Paper Details

Date Published: 6 March 2018
PDF: 11 pages
Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 1057916 (6 March 2018); doi: 10.1117/12.2294483
Show Author Affiliations
Yangfan Ni, Shanghai Institute of Technical Physics (China)
Haozhe Huang, Shanghai Cancer Hospital (China)
Dezhong Zheng, Shanghai Institute of Technical Physics (China)
Jianyong Sun, Shanghai Institute of Technical Physics (China)
Yuanyuan Yang, Shanghai Institute of Technical Physics (China)
Mingqing Wang, Shanghai Institute of Technical Physics (China)
Yiping Gu, Shanghai Institute of Technical Physics (China)
Ming Li, Huadong Hospital (China)
Guozhen Zhang, Huadong Hospital (China)
Wentao Li, Shanghai Cancer Hospital (China)
Jianguo Zhang, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 10579:
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
Jianguo Zhang; Po-Hao Chen, Editor(s)

© SPIE. Terms of Use
Back to Top