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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
Authors:  Yang, Menglin;  Li, Ding;  Zhang, Wensheng
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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  
Automated pulmonary nodule detection in CT images using deep convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 页码: 109-119
Authors:  Xie, Hongtao;  Yang, Dongbao;  Sun, Nannan;  Chen, Zhineng;  Zhang, Yongdong
Favorite  |  View/Download:107/0  |  Submit date:2019/01/08
Nodule detection  Convolutional neural network  False positive reduction  Computer-aided diagnosis  
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
Authors:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
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Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis