Pulmonary nodule segmentation with CT sample synthesis using adversarial networks
Author:
Affiliation:
1. Institute of Image Processing and Pattern Recognition; Shanghai Jiao Tong University; 800 Dongchuan RD. Minhang District Shanghai 200240 China
2. University Lyon, INSA Lyon, CNRS, INSERM, CREATIS UMR 5220, U1206; F-69621 Lyon France
Funder
National Natural Science Foundation of China
973 Program of China
Committee of Science and Technology
CMIRA COOPERA/EXPLORA PRO 2016
Publisher
Wiley
Subject
General Medicine
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.13349/fullpdf
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3. Large scale validation of the M5L lung CAD on heterogeneous CT datasets;Lopez Torres;Med Phys,2015
4. Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images;Jacobs;Med Image Anal,2014
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