Saliency-Aware Mutual Learning for enhanced retinal Image Quality Assessment in diabetic retinopathy diagnostics

This publication has 41 references indexed in Scilit:

• A mixed-scale dynamic attention transformer for pediatric pneumonia diagnosis
  Displays, 2025
• Diagnostic Accuracy of Automated Diabetic Retinopathy Image Assessment Software: IDx-DR and RetCAD
  Ophthalmology and Therapy, 2024
• DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge
  Patterns, 2022
• Artificial Intelligence Algorithms in Diabetic Retinopathy Screening
  Current Diabetes Reports, 2022
• Domain-invariant interpretable fundus image quality assessment
  Medical Image Analysis, 2020
• Retinal image quality assessment using deep learning
  Computers in Biology and Medicine, 2018
• The progress in understanding and treatment of diabetic retinopathy
  Progress in Retinal and Eye Research, 2016
• Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video
  International Journal of Computer Vision, 2010
• Automated quality assessment of retinal fundus photos
  International Journal of Computer Assisted Radiology and Surgery, 2010
• Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales
  Ophthalmology, 2003