SSL-ENSAM: Utilizing Sam for Semi-Supervised Retinal Vessel Segmentation with Quality-Aware Enhancement
Author:
Affiliation:
1. The Chinese University of Hong Kong,Department of Biomedical Engineering,China
2. Intelligent Vision Plus Technology Co., Ltd.,Shenzhen,China
Funder
Innovation and Technology Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635592.pdf?arnumber=10635592
Reference20 articles.
1. FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation
2. Large AI Models in Health Informatics: Applications, Challenges, and the Future
3. Sam fails to segment anything?– sam-adapter: Adapting sam in underperformed scenes: Camouflage, shadow, and more;Tianrun,2023
4. P-ResUnet: Segmentation of brain tissue with Purified Residual Unet
5. Learning enhancement from degradation: A diffusion model for fundus image enhancement;Puijin,2023
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