Image processing and classification in diabetic retinopathy: A review

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

doi:10.1109/EUVIP.2014.7018362

Image processing and classification in diabetic retinopathy: A review

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

32 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 language	English
Title of host publication	EUVIP 2014 - 5th European Workshop on Visual Information Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479945726
DOIs	https://doi.org/10.1109/EUVIP.2014.7018362
Publication status	Published - 22 Jan 2015
Externally published	Yes
Event	5th European Workshop on Visual Information Processing, EUVIP 2014 - Paris, France Duration: 10 Dec 2014 → 12 Dec 2014

Publication series

Name	EUVIP 2014 - 5th European Workshop on Visual Information Processing

Conference

Conference	5th European Workshop on Visual Information Processing, EUVIP 2014
Country/Territory	France
City	Paris
Period	10/12/14 → 12/12/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Diabetic Retinopathy (DR)
exudates
fundus image
image processing
medical imaging
microaneurysm
pattern classification
pattern recognition

Access to Document

10.1109/EUVIP.2014.7018362

Cite this

Ahmad, A., Mansoor, A. B., Mumtaz, R., Khan, M., & Mirza, S. H. (2015). Image processing and classification in diabetic retinopathy: A review. In EUVIP 2014 - 5th European Workshop on Visual Information Processing Article 7018362 (EUVIP 2014 - 5th European Workshop on Visual Information Processing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EUVIP.2014.7018362

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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",

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Ahmad, A, Mansoor, AB, Mumtaz, R, Khan, M & Mirza, SH 2015, Image processing and classification in diabetic retinopathy: A review. in EUVIP 2014 - 5th European Workshop on Visual Information Processing., 7018362, EUVIP 2014 - 5th European Workshop on Visual Information Processing, Institute of Electrical and Electronics Engineers Inc., 5th European Workshop on Visual Information Processing, EUVIP 2014, Paris, France, 10/12/14. https://doi.org/10.1109/EUVIP.2014.7018362

Image processing and classification in diabetic retinopathy: A review. / Ahmad, Arslan; Mansoor, Atif Bin; Mumtaz, Rafia et al.
EUVIP 2014 - 5th European Workshop on Visual Information Processing. Institute of Electrical and Electronics Engineers Inc., 2015. 7018362 (EUVIP 2014 - 5th European Workshop on Visual Information Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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T2 - 5th European Workshop on Visual Information Processing, EUVIP 2014

AU - Ahmad, Arslan

AU - Mansoor, Atif Bin

AU - Mumtaz, Rafia

AU - Khan, Mukaram

AU - Mirza, S. H.

PY - 2015/1/22

Y1 - 2015/1/22

N2 - 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.

AB - 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.

KW - Diabetic Retinopathy (DR)

KW - exudates

KW - fundus image

KW - image processing

KW - medical imaging

KW - microaneurysm

KW - pattern classification

KW - pattern recognition

UR - https://www.scopus.com/pages/publications/84923545967

U2 - 10.1109/EUVIP.2014.7018362

DO - 10.1109/EUVIP.2014.7018362

M3 - Conference contribution

AN - SCOPUS:84923545967

T3 - EUVIP 2014 - 5th European Workshop on Visual Information Processing

BT - EUVIP 2014 - 5th European Workshop on Visual Information Processing

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 10 December 2014 through 12 December 2014

ER -

Image processing and classification in diabetic retinopathy: A review

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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