2 papers
eess.IV2024
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
Haitao Gan, Lingchao Fu, Ran Zhou +5
The classification of carotid artery ultrasound images is a crucial means for diagnosing carotid plaques, holding significant clinical relevance for predicting the risk of stroke.…
eess.IV2023
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification
Haitao Gan, Ran Zhou, Yanghan Ou +3
The segmentation and classification of carotid plaques in ultrasound images play important roles in the treatment of atherosclerosis and assessment for the risk of stroke. Although…