Automatic Detection and Analysis of Retinal Diseases

Image processing and analysis has great significance in the field of medical science. One such area is the analysis of retinal fundus images. This book explains an automated system for detection and analysis of retinal diseases from fundus images. Common retinal diseases such as Diabetic Retinopathy, Retinitis Pigmentosa and Glaucoma are studied in detail and appropriate detection approaches has been discussed. These diseases usually causes vision loss that in many cases cannot be reversed in advanced stages whereas they can be controlled in the early stages otherwise it progresses to loss of central vision and leads to complete blindness. Experimental results shows very significant detection rate of the methods discussed especially in locating optic disk with normalized cross correlation function. The proposed automated detection system can therefore be deployed for mass screening of retinal fundus images for early detection of common retinal diseases in rural areas where there is non-availability of good number of ophthalmologist and reducing the screening cost in the same time.

Autorentext

Obtained his B.E degree in Computer Science and Engineering. PG-DAC from C-DAC Acts Pune. He has qualified GATE. Completed his M.Tech in Computer Science and Engineering from NIT Agartala, India. Presently, he is working as Visiting Lecturer in Holycross College, Tripura and Bir Bikram Memorial College, Tripura, India.