@inproceedings{da8502b42b714b4aa5acb5874fc3e774,
title = "Image processing and classification in diabetic retinopathy: A review",
abstract = "Diabetic retinopathy is one of the disabling microvascular complications of diabetes mellitus that causes the loss of central vision or in cases complete vision loss if not recognized and cured at the earlier stage. This work reviews the latest techniques in digital image processing and pattern classification employed for the detection of diabetic retinopathy and compares them on the basis of different performance measures like sensitivity, specificity, accuracy and area under the curve in receiver operating characteristic. The classification of diabetic retinopathy follows various steps like pre-processing, feature extraction and classification of microaneurysm, hemorrhages, exudates and cotton woolen spot. In this paper, the reported literature in each domain is analyzed.",
keywords = "Diabetic Retinopathy (DR), exudates, fundus image, image processing, medical imaging, microaneurysm, pattern classification, pattern recognition",
author = "Arslan Ahmad and Mansoor, {Atif Bin} and Rafia Mumtaz and Mukaram Khan and Mirza, {S. H.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 5th European Workshop on Visual Information Processing, EUVIP 2014 ; Conference date: 10-12-2014 Through 12-12-2014",
year = "2015",
month = jan,
day = "22",
doi = "10.1109/EUVIP.2014.7018362",
language = "English",
series = "EUVIP 2014 - 5th European Workshop on Visual Information Processing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "EUVIP 2014 - 5th European Workshop on Visual Information Processing",
}
