Diabetic retinopathy grading using ResNet convolutional neural network

• Main Authors: Sallam, Muhammad Samer, Asnawi, Ani Liza, Olanrewaju, Rashidah Funke
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2020
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/86521/1/86521_Diabetic%20Retinopathy%20Grading%20Using%20ResNet_new.pdf; http://irep.iium.edu.my/86521/7/86521_Diabetic%20retinopathy%20grading_scopus.pdf; http://irep.iium.edu.my/86521/; https://ieeexplore-ieee-org.ezlib.iium.edu.my/document/9289822

Designing and developing automated systems to detect and grade Diabetic Retinopathy (DR) is one of the recent research areas in the world of medical image applications since it is considered one of the main causes of total blindness for people who have diabetes in the mid-age. In this paper, a com...