Article

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

2022-11-03

Abstract excerpt

<title>Abstract</title> <p>Self-supervised contrastive learning (CL) based pretraining allows enhanced data representation, therefore, the development of robust and generalized deep learning (DL) models, even with small, labeled datasets. This paper aims to evaluate the effect of CL based pretraining on the performance of referable vs non referable diabetic retinopathy (DR) classification. We have developed a CL...

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Literature Corpus work: 50036de3-5992-5cf6-a049-7e84605bb2b8
DOI: 10.21203/rs.3.rs-2199633/v1

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