A Deep Learning Approach for Retinal Image Feature Extraction

• Main Authors: Mohammed Enamul, Hoque, Kuryati, Kipli, Tengku Mohd Afendi, Zulcaffle, Abdulrazak Yahya, Saleh, Dayang Azra, Awang Mat, Rohana, Sapawi, Annie, Joseph
• Format: Article
• Language: English
• Published: Universiti Putra Malaysia Press 2021
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://ir.unimas.my/id/eprint/36537/1/retinal1.pdf; http://ir.unimas.my/id/eprint/36537/; http://www.pertanika.upm.edu.my/pjst/browse/prepress-issue?article=JST-2569-2021; https://doi.org/10.47836/pjst.29.4.17
• Institution: Universiti Malaysia Sarawak

Retinal image analysis is crucially important to detect the different kinds of life-threatening cardiovascular and ophthalmic diseases as human retinal microvasculature exhibits remarkable abnormalities responding to these disorders. The high dimensionality and random accumulation of retinal images...