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Articles

Outlier-robust self-training for semi-supervised clavicle semantic segmentation in computed tomography images

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By Seung-Jin Kong, Hee-Cheol Kim, Tleuliyev Azat
| jmai.amegroups.org
Have a website account?Log In orRegister for exclusive website content. Home / Vol 9 (May 30, 2026) / Outlier-robust self-training for semi-supervised clavicle semantic segmentation in computed tomography images Session Timed Out Your session has expired. Please sign in again.
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Outlier-robust self-training for semi-supervised clavicle semantic segmentation in computed tomography images

|
By Seung-Jin Kong, Hee-Cheol Kim, Tleuliyev Azat
| jmai.amegroups.org
Original Article 1Department of Digital Anti-Aging Health Care, Inje University, Gyeongsangnam-do, Republic of Korea; 2Korea Institute of Industrial Technology, Smart Forming Process R&D Group, Ulsan, Republic of Korea; 3University of Ulsan, Ulsan, Republic of Korea Contributions: (I) Conception and design: SJ Kong, HC Kim, DH Kim; (II) Administrative support: DH Kim; (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: SJ Kong, T Azat; (V) Data analysis...
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