A self-supervised classification model for endometrial diseases
Yun Fang,
Yanmin Wei,
Xiaoying Liu
et al.
Abstract:Purpose
Ultrasound imaging is the preferred method for the early diagnosis of endometrial diseases because of its non-invasive nature, low cost, and real-time imaging features. However, the accurate evaluation of ultrasound images relies heavily on the experience of radiologist. Therefore, a stable and objective computer-aided diagnostic model is crucial to assist radiologists in diagnosing endometrial lesions.
Methods
Transvaginal ultrasound images were c… Show more
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