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C2MAL: cascaded network-guided class-balanced multi-prototype auxiliary learning for source-free domain adaptive medical image segmentation.

Publicado en:Medical & Biological Engineering & Computing Vol. 63; no. 5; pp. 1551 - 1571
Autores principales: Zhou, Wei, Yang, Xuekun, Ji, Jianhang, Yi, Yugen
Formato: Journal Article
Publicado: Springer Nature May2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2025
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      pub: Springer Nature
      place: New York, New York
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        atl: C2MAL: cascaded network-guided class-balanced multi-prototype auxiliary learning for source-free domain adaptive medical image segmentation.
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          Zhou, Wei
          Yang, Xuekun
          Ji, Jianhang
          Yi, Yugen
        affil: https://ror.org/02423gm04 College of Computer Science, Shenyang Aerospace University, 110136, Shenyang, China
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      pubtype: Academic Journal
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    language: English
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