Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models
Abstract Diabetic retinopathy (DR) is a major cause of vision impairment in diabetic patients worldwide. Due to its prevalence, early clinical diagnosis is essential to improve treatment management of DR patients. Despite recent demonstration of successful machine learning (ML) models for automated...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-04-01
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| Online Access: | https://doi.org/10.1038/s41598-023-33365-y |
