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Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing.
Yuan, Di; Liu, Yunxin; Xu, Zhenghua; Zhan, Yuefu; Chen, Junyang; Lukasiewicz, Thomas.
Affiliation
  • Yuan D; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China.
  • Liu Y; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China. Electronic address: 202111402002@stu.hebut.edu.cn.
  • Xu Z; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China. Electronic address: zhenghua.xu@hebut.edu.cn.
  • Zhan Y; Department of Radiology, Hainan Women and Children's Medical Center, Haikou, China.
  • Chen J; College of Computer Science and Software Engineering and the Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China.
  • Lukasiewicz T; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Comput Biol Med ; 153: 106487, 2023 02.
Article in En | MEDLINE | ID: mdl-36603432
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Child / Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: China Country of publication: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Child / Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: China Country of publication: United States