Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy
Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy
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Publisher
England: Hindawi
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Language
English
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Publisher
England: Hindawi
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Contents
This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic retinopathy (DR) that was trained using a dataset with high variability and predominant type 2 diabetes (T2D) and comparing model performance with that in patients with type 1 diabetes (T1D). The Kaggle dataset, which is a publicly available dataset, was...
Alternative Titles
Full title
Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy
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TN_cdi_doaj_primary_oai_doaj_org_article_6dbf1ab63a6b4d289165e185d9f863d1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6dbf1ab63a6b4d289165e185d9f863d1
Other Identifiers
ISSN
2314-6745
E-ISSN
2314-6753
DOI
10.1155/2021/2751695
