Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing

Sarni Suhaila Rahim; Vasile Palade; James Shuttleworth; Chrisina Jayne; Raja Norliza Raja Omar

doi:10.1007/978-3-319-23983-5_7

Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing

Sarni Suhaila Rahim
, Vasile Palade
, James Shuttleworth
, Chrisina Jayne
, Raja Norliza Raja Omar

Coventry University

Universiti Teknikal Malaysia Melaka
Hospital Melaka

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

18 Citations (Scopus)

Abstract

Fuzzy image processing was proven to help improve the image quality for both medical and non-medical images. This paper presents a fuzzy techniques-based eye screening system for the detection of one of the most important visible signs of diabetic retinopathy; microaneurysms, small red spot on the retina with sharp margins. The proposed ophthalmic decision support system consists of an automatic acquisition, screening and classification of eye fundus images, which can assist in the diagnosis of the diabetic retinopathy. The developed system contains four main parts, namely the image acquisition, the image preprocessing with fuzzy techniques, the microaneurysms localisation and detection, and finally the image classification. The fuzzy image processing approach provides better results in the detection of microaneurysms.

Original language	English
Title of host publication	Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Proceedings
Publisher	Springer Verlag
Pages	69-79
Number of pages	11
Volume	517
ISBN (Print)	9783319239811
DOIs	https://doi.org/10.1007/978-3-319-23983-5_7
Publication status	E-pub ahead of print - 22 Oct 2015
Event	16th International Conference on Engineering Applications of Neural Networks, EANN 2015 - Rhodes, Greece Duration: 25 Sept 2015 → 28 Sept 2015

Publication series

Name	Communications in Computer and Information Science
Volume	517
ISSN (Print)	18650929

Conference

Conference	16th International Conference on Engineering Applications of Neural Networks, EANN 2015
Country/Territory	Greece
City	Rhodes
Period	25/09/15 → 28/09/15

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Colour fundus images
Diabetic Retinopathy
Eye screening
Fuzzy image processing
Microaneurysms

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1007/978-3-319-23983-5_7

Cite this

Rahim, S. S., Palade, V., Shuttleworth, J., Jayne, C., & Omar, R. N. R. (2015). Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing. In Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Proceedings (Vol. 517, pp. 69-79). (Communications in Computer and Information Science; Vol. 517). Springer Verlag. Advance online publication. https://doi.org/10.1007/978-3-319-23983-5_7

Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing. / Rahim, Sarni Suhaila; Palade, Vasile; Shuttleworth, James et al.
Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Proceedings. Vol. 517 Springer Verlag, 2015. p. 69-79 (Communications in Computer and Information Science; Vol. 517).

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

Rahim, SS, Palade, V, Shuttleworth, J, Jayne, C & Omar, RNR 2015, Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing. in Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Proceedings. vol. 517, Communications in Computer and Information Science, vol. 517, Springer Verlag, pp. 69-79, 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, Rhodes, Greece, 25/09/15. https://doi.org/10.1007/978-3-319-23983-5_7

Rahim SS, Palade V, Shuttleworth J, Jayne C, Omar RNR. Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing. In Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Proceedings. Vol. 517. Springer Verlag. 2015. p. 69-79. (Communications in Computer and Information Science). Epub 2015 Oct 22. doi: 10.1007/978-3-319-23983-5_7

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abstract = "Fuzzy image processing was proven to help improve the image quality for both medical and non-medical images. This paper presents a fuzzy techniques-based eye screening system for the detection of one of the most important visible signs of diabetic retinopathy; microaneurysms, small red spot on the retina with sharp margins. The proposed ophthalmic decision support system consists of an automatic acquisition, screening and classification of eye fundus images, which can assist in the diagnosis of the diabetic retinopathy. The developed system contains four main parts, namely the image acquisition, the image preprocessing with fuzzy techniques, the microaneurysms localisation and detection, and finally the image classification. The fuzzy image processing approach provides better results in the detection of microaneurysms.",

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Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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