Review on Application of Artificial Intelligence and Image Processing on Glaucoma Diagnosis

Yosra, MLOUHI; Mohamed Najeh, LAKHOUA; Imed, JABRI; Tahar, BATTIKH

doi:10.21608/ijasri.2021.228565

Review on Application of Artificial Intelligence and Image Processing on Glaucoma Diagnosis

Document Type : Original Article

Authors

¹ Research Laboratory Information and Communication Technologies & Electrical Engineering, LATICE, National Superior School of Engineering, University of Tunis, Tunisia Research Laboratory Smart Electricity & ICT, SEICT

² National Engineering School of Carthage, University of Carthage, Tunisia

10.21608/ijasri.2021.228565

Abstract

Today, glaucoma is the leading cause of blindness worldwide. In
fact, the damage to the visual field is the major outcome of
glaucoma. As the goal of its treatment is preventing the
deterioration of the quality of life, detecting variations of the
visual function on a time degree basis is principal for monitoring
the effectiveness of the therapy. This paper presents an overview
on glaucoma diagnosis using artificial intelligence and image
processing.

Keywords