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Learning from adversarial medical images for X-ray breast mass segmentation 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 180, 期号: 2019, 页码: 13
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Fei-Yue;  He, Zilong;  Chen, Weiguo
Adobe PDF(4491Kb)  |  收藏  |  浏览/下载：347/45  |  提交时间：2019/12/16
Medical image synthesis  Generative adversarial network  X-ray breast mass  Lesion segmentation  
Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1922-1930
作者:  Yang, Menglin;  Li, Ding;  Zhang, Wensheng
收藏  |  浏览/下载：303/0  |  提交时间：2019/12/16
feature extraction  diseases  medical image processing  patient diagnosis  image segmentation  image classification  supervised learning  image annotation  thoracic disease diagnosis  weakly supervised learning  computer-aided diagnosis  coarse image-level annotations  pathological area  nonlocal aware features  fine-grained expertise  clinical diagnosis  visualisation method  chest X-ray dataset  spatial nonlocal attention mechanism  ResNet-SNA  
Lung cancer deficient in the tumor suppressor GATA4 is sensitive to TGFBR1 inhibition 期刊论文
NATURE COMMUNICATIONS, 2019, 卷号: 10, 期号: 1, 页码: 1665
作者:  Gao, Lei;  Hu, Yong;  Tian, Yahui;  Fan, Zhenzhen;  Wang, Kun;  Li, Hongdan;  Zhou, Qian;  Zeng, Guandi;  Hu, Xin;  Yu, Lei;  Zhou, Shiyu;  Tong, Xinyuan;  Huang, Hsinyi;  Chen, Haiquan;  Liu, Qingsong;  Liu, Wanting;  Zhang, Gong;  Zeng, Musheng;  Zhou, Guangbiao;  He, Qingyu;  Ji, Hongbin;  Chen, Liang
浏览  |  Adobe PDF(2284Kb)  |  收藏  |  浏览/下载：479/129  |  提交时间：2019/07/12
GATA4  
3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2019, 卷号: 7, 期号: 10, 页码: 1-10
作者:  Fang, Longwei;  Wang, Zuowei;  Chen, Zhiqiang;  Jian, Fengzeng;  Li, Shuo;  He, Huiguang
浏览  |  Adobe PDF(5609Kb)  |  收藏  |  浏览/下载：424/118  |  提交时间：2019/07/01
3d Reconstruction  Vertebra Model  X-ray Image  2d/3d Registration  2d/2d Registration  
Analysis of Interventionalists' Natural Behaviors for Recognizing Motion Patterns of Endovascular Tools During Percutaneous Coronary Interventions 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 卷号: 13, 期号: 2, 页码: 330-342
作者:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Qu, Xinkai;  Guan, Shaofeng
浏览  |  Adobe PDF(2985Kb)  |  收藏  |  浏览/下载：559/156  |  提交时间：2019/04/23
Analysis framework  hidden Markov model  hierarchical classification framework  natural behaviors  percutaneous coronary intervention