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西北工业大学 国内
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Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images
Chenchu Xu, Tong Zhang, Dong Zhang,
Dingwen Zhang
,
Junwei Han
自动化学院
Anhui University
Hefei Comprehensive National Science Center
University of British Columbia
Air Force Medical University
科研成果
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引用 (Scopus)
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探究 'Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images' 的科研主题。它们共同构成独一无二的指纹。
分类
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Computer Science
Deep Reinforcement Learning
100%
Reinforcement Learning
100%
Generative Adversarial Networks
37%
Image Segmentation
25%
Learning Approach
12%
Performance Evaluation
12%
Detection Result
12%
Unlabeled Data
12%
Segmentation Task
12%
Segmentation Performance
12%
Segmentation Method
12%
Discriminator
12%
Learning Agent
12%
Engineering
Reinforcement Learning
100%
Medical Image
100%
Joints (Structural Components)
14%
Medical Image Segmentation
14%
Limitations
7%
Discriminator
7%
Based Segmentation Method
7%
Learning Approach
7%
Neuroscience
Reinforcement Learning
100%
Face
7%
Intracranial Tumor
7%
Earth and Planetary Sciences
Error Propagation
100%