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C$$^2$$MAL: cascaded network-guided class-balanced multi-prototype auxiliary learning for source-free domain adaptive medical image segmentation

Published Online: 2025-01-20

Authors

Zhou, Wei https://orcid.org/0000-0002-5931-3197
Yang, Xuekun

Ji, Jianhang

Yi, Yugen
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (Nos. 62062040, 62102270, 62041702)

Natural Science Foundation of Liaoning Province (No. 2023-MS-246)

Outstanding Youth Project of Jiangxi Natural Science Foundation (No. 20212ACB212003)

Jiangxi Province Key Subject Academic and Technical Leader Funding Project (No. 20212BCJ23017)

Fundamental Research Funds for the Universities of Liaoning Province (No.LJ212410143028)
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Text and Data Mining valid from 2025-01-20

Version of Record valid from 2025-01-20
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Article History

Received: 8 September 2024

Accepted: 31 December 2024

First Online: 20 January 2025

Declarations

:

: The authors declare no competing interests.

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