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

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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Main Authors: Jui-En Lo, Eugene Yu-Chuan Kang, Yun-Nung Chen, Yi-Ting Hsieh, Nan-Kai Wang, Ta-Ching Chen, Kuan-Jen Chen, Wei-Chi Wu, Yih-Shiou Hwang, Fu-Sung Lo, Chi-Chun Lai
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Diabetes Research
Online Access:http://dx.doi.org/10.1155/2021/2751695
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