International Journal of Scientific and Research Publications

IJSRP, Volume 5, Issue 9, September 2015 Edition [ISSN 2250-3153]


Automatic Detection and Classification of Diabetic Retinopathy Lesion Using Bag of Visual Words Model
      C.Jagatheesh M.E., C.Jenila M.E.
Abstract: Diabetic Retinopathy (DR) is a complication of diabetes that affects the eyes. It's caused by damage to the blood vessels of the light sensitive tissue at the back of the retina. The success rate of its curability solemnly depends on the early stage diagnosis or else it will lead to blindness. DR lesions are detected using Bag Of Visual Words (BoVW) model. Features are extracted using Speeded Up Robust Features (SURF).K-Means clustering is used for creating visual dictionary. Fisher vector encoding and Max pooling technique is used for creating Bag of Visual Words (BOVW). Finally SVM is used for lesion classification.

Reference this Research Paper (copy & paste below code):

C.Jagatheesh M.E., C.Jenila M.E. (2018); Automatic Detection and Classification of Diabetic Retinopathy Lesion Using Bag of Visual Words Model; Int J Sci Res Publ 5(9) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0915.php?rp=P454578
©️ Copyright 2011-2022 IJSRP - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.