DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images.

Yu, Ke; Sun, Li; Chen, Junxiang; Reynolds, Maxwell; Chaudhary, Tigmanshu; Batmanghelich, Kayhan

Yu, Ke; Sun, Li; Chen, Junxiang; Reynolds, Maxwell; Chaudhary, Tigmanshu; Batmanghelich, Kayhan.

Afiliação

Yu K; School of Computing and Information, University of Pittsburgh, Pittsburgh, USA. Electronic address: yu.ke@pitt.edu.
Sun L; Department of Electrical and Computer Engineering, Boston University, Boston, USA.
Chen J; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA.
Reynolds M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA.
Chaudhary T; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA.
Batmanghelich K; Department of Electrical and Computer Engineering, Boston University, Boston, USA.

Med Image Anal ; 92: 103062, 2024 Feb.

Article em En | MEDLINE | ID: mdl-38086236

Assuntos

Enfisema; Humanos; Tórax; Tomografia Computadorizada por Raios X; Aprendizado de Máquina Supervisionado

Palavras-chave

3D Medical imaging data; Contrastive learning; Label-efficient learning; Self-supervised learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Enfisema Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Enfisema Idioma: En Ano de publicação: 2024 Tipo de documento: Article