1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos
Xiangxiang Cui, Zhongyu Li, Xiayue Fan +5
The intersection of medical imaging and artificial intelligence has become an important research direction in intelligent medical treatment, particularly in the analysis of medical…
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.CV2024
Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation
Xingyue Zhao, Zhongyu Li, Xiangde Luo +8
Recent advances in deep learning have greatly facilitated the automated segmentation of ultrasound images, which is essential for nodule morphological analysis. Nevertheless, most…