Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation.

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Bibliographic Details
Title: Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation.
Authors: Xu L; School of Biological Science and Medical Engineering, Beihang University, Beijing, China., Liu M; School of Biological Science and Medical Engineering, Beihang University, Beijing, China., Wei B; School of Biological Science and Medical Engineering, Beihang University, Beijing, China., He Y; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China., Gao Z; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China. Electronic address: gaozhifan@mail.sysu.edu.cn., Han H; Institute of Medical Technology, Peking University Health Science Center, Beijing, China; Department of Radiology, Peking University Third Hospital, Beijing, China. Electronic address: hanhongbin@bjmu.edu.cn., Zhang J; School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Hefei Innovation Research Institute, Beihang University, Hefei, Anhui, China. Electronic address: jicongzhang@buaa.edu.cn.
Source: Medical image analysis [Med Image Anal] 2026 Jan; Vol. 107 (Pt B), pp. 103773. Date of Electronic Publication: 2025 Aug 23.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2025.103773