Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy

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 d...

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Detalles Bibliográficos
Autores principales: Lo, Jui-En, Kang, Eugene Yu-Chuan, Chen, Yun-Nung, Hsieh, Yi-Ting, Wang, Nan-Kai, Chen, Ta-Ching, Chen, Kuan-Jen, Wu, Wei-Chi, Hwang, Yih-Shiou, Lo, Fu-Sung, Lai, Chi-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776492/
https://www.ncbi.nlm.nih.gov/pubmed/35071603
http://dx.doi.org/10.1155/2021/2751695

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776492/
https://www.ncbi.nlm.nih.gov/pubmed/35071603
http://dx.doi.org/10.1155/2021/2751695

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