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

Yuan, Di; Liu, Yunxin; Xu, Zhenghua; Zhan, Yuefu; Chen, Junyang; Lukasiewicz, Thomas.

Afiliação

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 em En | MEDLINE | ID: mdl-36603432

Assuntos

Aprendizado Profundo; Humanos; Criança; Processamento de Imagem Assistida por Computador/métodos

Palavras-chave

Deep reinforcement learning; Homogenized automatic pre-processing; Medical image analysis; Pediatric pneumonia classification; Policy gradient

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Limite: Child / Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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