Automatic detection of diabetic retinopathy retinal images using artificial neural network

• Main Authors: Syamimi Mardiah, Shaharum, Nurul Hajar, Hashim, Nurhafizah, Abu Talip, Mohamad Shaiful, Abdul Karim, Ahmad Afif, Mohd Faudzi
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Singapore 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/25047/1/60.%20Automatic%20detection%20of%20diabetic%20retinopathy%20retinal%20images%20using%20artificial%20neural%20network.pdf; http://umpir.ump.edu.my/id/eprint/25047/2/60.1%20Automatic%20detection%20of%20diabetic%20retinopathy%20retinal%20images%20using%20artificial%20neural%20network.pdf; http://umpir.ump.edu.my/id/eprint/25047/; https://doi.org/10.1007/978-981-13-3708-6_43

The Diabetic Retinopathy (DR) is a critical vascular disorder that can cause a permanent blindness. Thus, the early recognition and the treatment are required to avoid major vision loss. Nowadays manual screening is done however, they are very incompetent to large image database of patients and most...