2 papers
cs.CV2024
SAM-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching
Xingyue Zhao, Peiqi Li, Xiangde Luo +3
Automated nodule segmentation is essential for computer-assisted diagnosis in ultrasound images. Nevertheless, most existing methods depend on precise pixel-level annotations by me…
cs.CV2022
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos
Yuchen Wang, Zhongyu Li, Xiangxiang Cui +4
Ultrasound examination is widely used in the clinical diagnosis of thyroid nodules (benign/malignant). However, the accuracy relies heavily on radiologist experience. Although deep…