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

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad mewn cynhadledd › adolygiad gan gymheiriaid

32 Dyfyniadau (Scopus)

Crynodeb

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.

Iaith wreiddiol	Saesneg
Teitl	EUVIP 2014 - 5th European Workshop on Visual Information Processing
Cyhoeddwr	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronig)	9781479945726
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/EUVIP.2014.7018362
Statws	Cyhoeddwyd - 22 Ion 2015
Cyhoeddwyd yn allanol	Ie
Digwyddiad	5th European Workshop on Visual Information Processing, EUVIP 2014 - Paris, Ffrainc Hyd: 10 Rhag 2014 → 12 Rhag 2014

Cyfres gyhoeddiadau

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

Cynhadledd

Cynhadledd	5th European Workshop on Visual Information Processing, EUVIP 2014
Gwlad/Tiriogaeth	Ffrainc
Dinas	Paris
Cyfnod	10/12/14 → 12/12/14

NDC y CU

Mae’r allbwn hwn yn cyfrannu at y Nod(au) Datblygu Cynaliadwy canlynol

NDC 3 Iechyd a Llesiant Da

Mynediad at Ddogfen

10.1109/EUVIP.2014.7018362

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Dyfynnu hyn

Ahmad, A., Mansoor, A. B., Mumtaz, R., Khan, M., & Mirza, S. H. (2015). Image processing and classification in diabetic retinopathy: A review. Yn EUVIP 2014 - 5th European Workshop on Visual Information Processing erthygl 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

@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",

}

Ahmad, A, Mansoor, AB, Mumtaz, R, Khan, M & Mirza, SH 2015, Image processing and classification in diabetic retinopathy: A review. yn 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, Ffrainc, 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).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad mewn cynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - Image processing and classification in diabetic retinopathy

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 -