Efficient Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotations

An asymmetric learning framework is developed that leverages simple clinical aspect ratio annotations to achieve effective ultrasound nodule segmentation, outperforming fully supervised methods.