AN OVERVIEW OF COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR RETINAL DISEASE IDENTIFICATION APPLICATIONS ( REVIEW PAPER )

Computational methodologies have become a significant part of the real time applications. One specific application which highly depends on the computing techniques is the medical field. Ophthalmology is a significant branch of biomedical field which requires computer-aided automated techniques for pathology identification in human eyes. These automated techniques must be highly accurate and also converge in quick time period. Based on these criterions, several automated techniques are developed and being used for practical applications. Even though many techniques are available, it is very difficult to achieve the concept of generalization among these automated techniques. Hence, there is a significant necessity for analyzing the various techniques in order to highlight their suitability for eye disease identification applications. This research paper overcomes this deficiency by providing an in-depth analysis of the existing automated techniques. The focus of this paper is on Artificial Intelligence (AI) based techniques since these techniques are found to be superior to other computing techniques. An extensive analysis is performed to bring out the merits and demerits of various Artificial Intelligence (AI) based techniques. Thus the application of AI techniques for retinal disease identification is explored in this work. This work also indirectly suggests AI based solutions for the various stages of automated retinal disease diagnosis system.

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