This paper is published in Volume-4, Issue-1, 2018
Area
Image Processing
Author
Shameena P P, Ayisha Shamna. K K, Jamsheera. K
Org/Univ
Cochin College of Engineering and Technology, Valanchery, Kerala, India
Pub. Date
13 February, 2018
Paper ID
V4I1-1274
Publisher
Keywords
Diabetic Retinopathy, Microaneurysm, Hemorrhages, Circular Hough Transform, Dynamic Shape Features, Automatic Detection

Citationsacebook

IEEE
Shameena P P, Ayisha Shamna. K K, Jamsheera. K. A Survey on Retinal Red Lesion Detection Techniques for Diabetic Retinopathy Screening, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Shameena P P, Ayisha Shamna. K K, Jamsheera. K (2018). A Survey on Retinal Red Lesion Detection Techniques for Diabetic Retinopathy Screening. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
Shameena P P, Ayisha Shamna. K K, Jamsheera. K. "A Survey on Retinal Red Lesion Detection Techniques for Diabetic Retinopathy Screening." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

Diabetic retinopathy (DR) is a sight-threatening condition occurring in persons with diabetes, which causes progressive damage to the retina. People with diabetes mellitus need annual screening to check for the development of diabetic retinopathy (DR).The early detection and diagnosis of DR are vital for saving the vision of diabetic persons. The early signs of DR which appear on the surface of the retina are the dark lesions such as microaneurysms (MAs) and hemorrhages (HEMs). The shape and count of these features are used to indicate the severity level of diabetic retinopathy. A computer aided diagnosis system can help to reduce the burden on the ophthalmologist and rapidly identify the most severe cases. So in this paper, a survey of different red lesion detection techniques and automated analysis are discussed.