Necessity of Local Modification for Deep Learning Algorithms to Predict Diabetic Retinopathy

Deep learning (DL) algorithms are used to diagnose diabetic retinopathy (DR). However, most of these algorithms have been trained using global data or data from patients of a single region. Using different model architectures (e.g., Inception-v3, ResNet101, and DenseNet121), we assessed the necessit...

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Detalles Bibliográficos
Autores principales: Tsai, Ching-Yao, Chen, Chueh-Tan, Chen, Guan-An, Yeh, Chun-Fu, Kuo, Chin-Tzu, Hsiao, Ya-Chuan, Hu, Hsiao-Yun, Tsai, I-Lun, Wang, Ching-Hui, Chen, Jian-Ren, Huang, Su-Chen, Lu, Tzu-Chieh, Woung, Lin-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834743/
https://www.ncbi.nlm.nih.gov/pubmed/35162226
http://dx.doi.org/10.3390/ijerph19031204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834743/
https://www.ncbi.nlm.nih.gov/pubmed/35162226
http://dx.doi.org/10.3390/ijerph19031204

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