Research on grading detection methods for diabetic retinopathy based on deep learning

Utilizing image-level annotations, we implemented a method for detecting diabetic retinopathy through deep learning and provided interpretable justifications to assist clinicians in diagnosis.

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Publication Details

Journal
Pakistan Journal of Medical Sciences
Published
2024-12-27
DOI
https://doi.org/10.12669/pjms.41.1.9171
Citations
3
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.21
Controls
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article

Research on grading detection methods for diabetic retinopathy based on deep learning

Juan Chen, Jing Zhang
3 citations
Pakistan Journal of Medical Sciences
Retinal Imaging and Analysis
1.21
article

Research on grading detection methods for diabetic retinopathy based on deep learning

Juan Chen, Jing Zhang
article en
3 citations

Abstract

Utilizing image-level annotations, we implemented a method for detecting diabetic retinopathy through deep learning and provided interpretable justifications to assist clinicians in diagnosis.

Pakistan Journal of Medical SciencesVol. 41(1)
657 Oslo (NO)
Openalex Percentile: Top 19%
Retinal Imaging and Analysis
1.21
DOIOpen Access PDFOpenAlex
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Research on grading detection methods for diabetic retinopathy based on deep learning — Juan Chen, Jing Zhang · Pakistan Journal of Medical Sciences (2024) | TGRS Research Map | TGRS