Open AccessRecent Innovations in Automated Detection and Classification of Diabetic Retinopathy
Author(s) -
Wafa Aladawi,
Dr.C. Jayakumari,
E P Sumesh,
Vidhyalavanya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9306.0881019
Subject(s) - diabetic retinopathy , computer science , retinopathy , disease , artificial intelligence , medicine , diabetes mellitus , pathology , endocrinology
Due to the increasing prevalence of diabetic retinopathy worldwide, it’s an urgent need to develop smart system that help to detect disease using one of the modern technologies. Artificial intelligence is one of the popular techniques nowadays which has the ability to learn from experience and carry out human-like tasks. Large number of researches have been conducted to find out effective medical diagnosis methods for numerous diseases. Likewise, huge number of researches have been done that discuss automated detection and classification of diabetic retinopathy. This paper reviews the existing methodologies, datasets, sensitivity, specificity and classification accuracy in diabetic retinopathy.