Image processing and classification in diabetic retinopathy: A review

Arslan Ahmad, Atif Mansoor, Rafia Mumtaz, Mukaram Khan, S.H. Mirza

Research output: Chapter in Book/Conference paperConference paper

12 Citations (Scopus)

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.
Original languageEnglish
Title of host publication 2014 5th European Workshop on Visual Information Processing (EUVIP)
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781479945726
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 5th European Workshop on Visual Information Processing (EUVIP) - Paris, France
Duration: 10 Dec 201412 Dec 2014
Conference number: 5
https://dblp1.uni-trier.de/db/conf/euvip/

Workshop

Workshop2014 5th European Workshop on Visual Information Processing (EUVIP)
Abbreviated titleEUVIP
CountryFrance
CityParis
Period10/12/1412/12/14
Internet address

Fingerprint Dive into the research topics of 'Image processing and classification in diabetic retinopathy: A review'. Together they form a unique fingerprint.

Cite this