IEEE TNNLS

Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation

多尺度开关用于医学超声图像分割中的半监督和对比学习

Jingguo Qu, Xinyang Han, Yao Pu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

机构 * Department of Health Technology and Informatics, The Hong Kong Polytechnic University（健康科技与信息学系，香港理工大学） ； Centre for Smart Health and School of Nursing, The Hong Kong Polytechnic University（智能健康中心及护理学院，香港理工大学） ； Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong（影像与介入放射科，香港中文大学） 纠错

AI总结 本文提出Switch框架，通过多尺度开关和频域开关提升医学超声图像分割的半监督和对比学习效果，在低标注率下取得显著Dice系数提升。

Comments This is the author-submitted LaTeX version with original typesetting. The final published version (with IEEE production formatting and layout changes) is available at http://doi.org/10.1109/TNNLS.2026.3669814 under CC BY 4.0 license