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Found 2 papers, 1 papers with code
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
Specifically, the accuracy of mixed-echoic plaques classification increased by approximately 3. 3%, demonstrating the effectiveness of our approach.
A region and category confidence-based multi-task network for carotid ultrasound image segmentation and classification
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.
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