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pro vyhledávání: '"Hell, Michele"'
Autor:
Wei, Ting-Ruen, Hell, Michele, Le, Dang Bich Thuy, Vierra, Aren, Pang, Ran, Patel, Mahesh, Kang, Young, Yan, Yuling
This study presents an unsupervised domain adaptation method aimed at autonomously generating image masks outlining regions of interest (ROIs) for differentiating breast lesions in breast ultrasound (US) imaging. Our semi-supervised learning approach
Externí odkaz:
http://arxiv.org/abs/2404.12450
Autor:
Wei TR; Santa Clara University Santa Clara CA 95053 USA., Hell M; Santa Clara University Santa Clara CA 95053 USA., Vierra A; Santa Clara Valley Medical Center San Jose CA 95128 USA., Pang R; Santa Clara Valley Medical Center San Jose CA 95128 USA., Kang Y; Santa Clara Valley Medical Center San Jose CA 95128 USA., Patel M; Santa Clara Valley Medical Center San Jose CA 95128 USA., Yan Y; Santa Clara University Santa Clara CA 95053 USA.
Publikováno v:
IEEE open journal of engineering in medicine and biology [IEEE Open J Eng Med Biol] 2024 Sep 05; Vol. 6, pp. 100-106. Date of Electronic Publication: 2024 Sep 05 (Print Publication: 2025).
