General deep learning model for detecting diabetic retinopathy

General deep learning model for detecting diabetic retinopathy

Abstract Background Doctors can detect symptoms of diabetic retinopathy (DR) early by using retinal ophthalmoscopy, and they can improve diagnostic efficiency with the assistance of deep learning to select treatments and support personnel workflow. Conventionally, most deep learning methods for DR d...

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Bibliographic Details
Main Authors: Ping-Nan Chen, Chia-Chiang Lee, Chang-Min Liang, Shu-I Pao, Ke-Hao Huang, Ke-Feng Lin
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Bioinformatics
Subjects:
SMOTE
Overfitting
Decision tree
Nasnet-large
Transfer learning
Online Access:https://doi.org/10.1186/s12859-021-04005-x

Internet

https://doi.org/10.1186/s12859-021-04005-x

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