IMAGE QUALITY ASSESSMENT GUIDED COLLABARATIVE LEARNING OF IMAGE ENHANCEMENT AND CLASSIFICATION OF DR GRADING
Keywords:
Diabetic Retinopathy, Image Quality Assessment, Collaborative Learning, Image Enhancement, Classification, DR Grading, Deep Learning, Automated Screening.Abstract
Diabetic Retinopathy (DR) is a significant cause of blindness worldwide, and its early detection is essential for timely treatment and prevention of severe vision loss. Accurate grading of DR is critical for appropriate clinical decision-making, which requires both image enhancement and classification.This paper proposes a novel approach for DR grading by leveraging Image Quality Assessment (IQA)
guided collaborative learning of image enhancement and classification.
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References
Gulshan, V., Peng, L., & Coram, M. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402 2410.
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