Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images

Automated Diabetic Retinopathy Detection Using Horizontal and Vertical Patch Division-Based Pre-Trained DenseNET with Digital Fundus Images

Diabetic retinopathy (DR) is a common complication of diabetes that can lead to progressive vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt intervention are paramount to reducing the incidence of DR-induced vision loss. However, manual interpretation of fundal...

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Bibliographic Details
Main Authors: Sabiha Gungor Kobat, Nursena Baygin, Elif Yusufoglu, Mehmet Baygin, Prabal Datta Barua, Sengul Dogan, Orhan Yaman, Ulku Celiker, Hakan Yildirim, Ru-San Tan, Turker Tuncer, Nazrul Islam, U. Rajendra Acharya
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Diagnostics
Subjects:
diabetic retinopathy
patch division
deep feature extraction
transfer learning
neighborhood component analysis
support vector machine
Online Access:https://www.mdpi.com/2075-4418/12/8/1975

Internet

https://www.mdpi.com/2075-4418/12/8/1975

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