Augmenting a prognostic deep learning system for referable diabetic retinopathy and maculopathy with synthetic retinal images

Augmenting pDLS with synthetic retinal images significantly improves pDLS performance on internal testing but not external testing suggesting further research is required to enhance the generalisability of synthetic retinal image augmentation.

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Publication Details

Journal
Communications Medicine
Published
2025-12-20
DOI
https://doi.org/10.1038/s43856-025-01316-5
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Augmenting a prognostic deep learning system for referable diabetic retinopathy and maculopathy with synthetic retinal images

Communications Medicine
Retinal Imaging and Analysis
article

Augmenting a prognostic deep learning system for referable diabetic retinopathy and maculopathy with synthetic retinal images

article en

Abstract

Augmenting pDLS with synthetic retinal images significantly improves pDLS performance on internal testing but not external testing suggesting further research is required to enhance the generalisability of synthetic retinal image augmentation.

Communications MedicineVol. 6(1)
King's College London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Thomas Foundation (AU), Kings Health Partners (GB), King's College School (GB), King's College Hospital (GB)
Diabetes UK, King's College London, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 43%
Retinal Imaging and Analysis
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