Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.

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作者： Zhenghua,Xu ^[1] ; Shengxin,Wang ^[1] ; Gang,Xu ^[2] ; Yunxin,Liu ^[1] ; Miao,Yu ^[3] ; Hongwei,Zhang ^[4] ; Thomas,Lukasiewicz ^[5] ; Junhua,Gu ^[2]

作者单位： State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China. ^[1] School of Artificial Intelligence, Hebei University of Technology, Tianjin, China. ^[2] 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: 202011402001@stu.hebut.edu.cn. ^[3] School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China. ^[4] Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria; Department of Computer Science, University of Oxford, Oxford, United Kingdom. ^[5]

关键词 Adaptive Sequence-length Deep Reinforcement Learning Automatic Data Augmentation Medical image segmentation Reward function

DOI 10.1016/j.compbiomed.2023.107877

PMID 38157774

发布时间 2024-12-16

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Computers in biology and medicine

2024年169卷

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Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.

Computers in biology and medicine

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Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.

Computers in biology and medicine

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Computers in biology and medicine

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