Deep learning generative adversarial network model for automated detection of diabetic retinopathy

• Main Authors: Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani, Amir Hussin, Amir 'Aatieff, Shafie, M L, Ridzuan, A N M
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/94161/1/EURECA%20Deep%20Learning%20Generative%20Adversarial%20Network%20Model%20for%20Automated%20Detection%20of%20Diabetic%20Retinopathy.pdf; http://irep.iium.edu.my/94161/2/3.%2016th%20Eureca%20Parallel%20Sessions%20v1.4.pdf; http://irep.iium.edu.my/94161/3/Eureca.png; http://irep.iium.edu.my/94161/

Diabetic retinopathy (DR) is a leading disease that cause impaired vision with a consequence of permanent blindness if it is undiagnosed and untreated at the early stages. Alas, DR often has no early warning sign and may cause no symptoms. Particularly, recent statistics recorded that about 382 mill...