A regularization-driven Mean Teacher model based on semi-supervised learning for medical image segmentation.

Wang, Qing; Li, Xiang; Chen, Mingzhi; Chen, Lingna; Chen, Junxi

Wang, Qing; Li, Xiang; Chen, Mingzhi; Chen, Lingna; Chen, Junxi.

Afiliação

Wang Q; Computer School, University of South China, Hengyang 421001, Hunan, People's Republic of China.
Li X; Department of Anesthesiology'People's Hospital of Longhua, Shenzhen 518109, People's Republic of China.
Chen M; College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, Hunan, People's Republic of China.
Chen L; Computer School, University of South China, Hengyang 421001, Hunan, People's Republic of China.
Chen J; Affiliated Nanhua Hospital, University of South China, Hengyang 421001, Hunan, People's Republic of China.

Phys Med Biol ; 67(17)2022 08 30.

Article em En | MEDLINE | ID: mdl-35970179

Assuntos

COVID-19; COVID-19/diagnóstico por imagem; Entropia; Humanos; Processamento de Imagem Assistida por Computador/métodos; Aprendizado de Máquina Supervisionado

Palavras-chave

Bayesian optimization; Mean Teacher model; entropy minimization; medical image segmentation; virtual adversarial training

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article