Review on Application of Artificial Intelligence and Image Processing on Glaucoma Diagnosis | ||||
| International Journal of Advanced Scientific Research and Innovation | ||||
| Volume 4, Issue 1, June 2021, Page 64-73 PDF (503.12 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijasri.2021.228565 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| MLOUHI Yosra1; LAKHOUA Mohamed Najeh2; JABRI Imed1; BATTIKH Tahar1 | ||||
| 1Research Laboratory Information and Communication Technologies & Electrical Engineering, LATICE, National Superior School of Engineering, University of Tunis, Tunisia Research Laboratory Smart Electricity & ICT, SEICT | ||||
| 2National Engineering School of Carthage, University of Carthage, Tunisia | ||||
| 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 | ||||
| Diagnosis; artificial intelligence; image processing; ophthalmology; glaucoma | ||||
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