Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing

Sarni Suhaila Rahim; Vasile Palade; Chrisina Jayne; Andreas Holzinger; James Shuttleworth

doi:10.1007/978-3-319-23344-4_37

Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing

Sarni Suhaila Rahim, Vasile Palade, Chrisina Jayne, Andreas Holzinger, James Shuttleworth

Medical University Graz

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

36 Citations (Scopus)

Abstract

Abstract Diabetic retinopathy is a damage of the retina and it is one of the serious
consequences of the diabetes. Early detection of diabetic retinopathy is extremely important in order to prevent premature visual loss and blindness. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. The detection of maculopathy is essential as it will eventually cause loss of vision if the affected macula is not timely treated. The developed system consists of ...

Original language	English
Title of host publication	International Conference on Brain Informatics and Health
Publisher	Springer
Pages	379
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-319-23344-4_37
Publication status	Published - 30 Aug 2015

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9250

Keywords

Diabetic Retinopathy
Eye Screening
colour fundus images
Fuzzy image processing
Machine learning
Classifiers

UN SDGs

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

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10.1007/978-3-319-23344-4_37

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Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. / Rahim, Sarni Suhaila; Palade, Vasile; Jayne, Chrisina et al.
International Conference on Brain Informatics and Health. Springer, 2015. p. 379 (Lecture Notes in Computer Science; Vol. 9250).

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

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abstract = "Abstract Diabetic retinopathy is a damage of the retina and it is one of the serious consequences of the diabetes. Early detection of diabetic retinopathy is extremely important in order to prevent premature visual loss and blindness. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. The detection of maculopathy is essential as it will eventually cause loss of vision if the affected macula is not timely treated. The developed system consists of ...",

keywords = "Diabetic Retinopathy, Eye Screening, colour fundus images, Fuzzy image processing, Machine learning, Classifiers",

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AU - Shuttleworth, James

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N2 - Abstract Diabetic retinopathy is a damage of the retina and it is one of the serious consequences of the diabetes. Early detection of diabetic retinopathy is extremely important in order to prevent premature visual loss and blindness. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. The detection of maculopathy is essential as it will eventually cause loss of vision if the affected macula is not timely treated. The developed system consists of ...

AB - Abstract Diabetic retinopathy is a damage of the retina and it is one of the serious consequences of the diabetes. Early detection of diabetic retinopathy is extremely important in order to prevent premature visual loss and blindness. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. The detection of maculopathy is essential as it will eventually cause loss of vision if the affected macula is not timely treated. The developed system consists of ...

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KW - Eye Screening

KW - colour fundus images

KW - Fuzzy image processing

KW - Machine learning

KW - Classifiers

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BT - International Conference on Brain Informatics and Health

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ER -

Detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing

Abstract

Publication series

Keywords

UN SDGs

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