Source-free domain adaptive segmentation with class-balanced complementary self-training.

Huang, Yongsong; Xie, Wanqing; Li, Mingzhen; Xiao, Ethan; You, Jane; Liu, Xiaofeng

Huang, Yongsong; Xie, Wanqing; Li, Mingzhen; Xiao, Ethan; You, Jane; Liu, Xiaofeng.

Afiliação

Huang Y; Harvard Medical School, Harvard University, Boston, MA, USA; Department of Communications Engineering, Graduate School of Engineering, Tohoku University, Sendai, Miyagi, Japan; Gordon Center for Medical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Xie W; Harvard Medical School, Harvard University, Boston, MA, USA; Department of Intelligent Medical Engineering, School of Biomedical Engineering, Anhui Medical University, Hefei, Anhui, China.
Li M; Harvard Medical School, Harvard University, Boston, MA, USA; Department of Mathematics, Washington University in St. Louis, St. Louis, MO, USA.
Xiao E; Harvard Medical School, Harvard University, Boston, MA, USA.
You J; Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Liu X; Harvard Medical School, Harvard University, Boston, MA, USA; Gordon Center for Medical Imaging, Massachusetts General Hospital, Boston, MA, USA. Electronic address: xliu61@mgh.harvard.edu.

Artif Intell Med ; 146: 102694, 2023 12.

Article em En | MEDLINE | ID: mdl-38042612

Palavras-chave

Segmentation; Self-training; Source-free domain adaptation

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Artif Intell Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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