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Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101715
Abstract: Diabetic retinopathy (DR) grading is crucial in determining the adequate treatment and follow up of patient, but the screening process can be tiresome and prone to errors. Deep learning approaches have shown promising performance as…
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Keywords:
diabetic retinopathy;
uncertainty;
deep learning;
retinopathy grading ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3052870
Abstract: Multi-label classification (MLC) is considered an essential research subject in the computer vision field, principally in medical image analysis. For this merit, we derive benefits from MLC to diagnose multiple grades of diabetic retinopathy (DR)…
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Keywords:
automatic diabetic;
system;
system based;
retinopathy grading ... See more keywords