MVLA-Net: A Multi-View Lesion Attention Network for Advanced Diagnosis and Grading of Diabetic Retinopathy
Innovation in learning algorithms has made retinal vessel segmentation and automatic grading techniques crucial for clinical diagnosis and prevention of diabetic retinopathy. The traditional methods struggle with accuracy and... | Find, read and cite all the research you need on Tech Science Press
Authors
- Tariq Mahmood (ORCID: https://orcid.org/0000-0002-4299-7756)
- Ammar Tahir (ORCID: https://orcid.org/0000-0003-3682-5680)
- Tanzila Saba (ORCID: https://orcid.org/0000-0003-2579-4209)
- Noor Ayesha (ORCID: https://orcid.org/0000-0003-1439-3418)
- Faten S. Alamri (ORCID: https://orcid.org/0009-0006-5359-4051)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.061150
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Princess Nourah Bint Abdulrahman University
- Prince Sultan University