@inproceedings{f8da0c4f923e4cae8716fa0ce66a8e1b,
title = "Detection of glaucoma using retinal fundus images",
abstract = "This paper proposes image processing technique for the early detection of glaucoma. Glaucoma is one of the major causes which cause blindness but it was hard to diagnose it in early stages. In this paper glaucoma is classified by extracting two features using retinal fundus images. (i) Cup to Disc Ratio (CDR). (ii) Ratio of Neuroretinal Rim in inferior, superior, temporal and nasal quadrants i.e. (ISNT quadrants) to check whether it obeys or violates the ISNT rule. The novel technique is implemented on 50 retinal images and an accuracy of 94\% is achieved taking an average computational time of 1.42 seconds.",
author = "Fauzia Khan and Khan, \{Shoaib A.\} and Yasin, \{Ubaid Ullah\} and \{Ul Haq\}, Ihtisham and Usman Qamar",
year = "2013",
doi = "10.1109/BMEiCon.2013.6687674",
language = "English",
isbn = "9781479914678",
series = "BMEiCON 2013 - 6th Biomedical Engineering International Conference",
booktitle = "BMEiCON 2013 - 6th Biomedical Engineering International Conference",
note = "6th Biomedical Engineering International Conference, BMEiCON 2013 ; Conference date: 23-10-2013 Through 25-10-2013",
}