Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing

Sami 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

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

Institute of Human-Centred Computing (7060)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Buch/Bericht › Begutachtung

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 image acquisition, image preprocessing with a combination of fuzzy techniques, feature extraction, and image classification by using several machine learning techniques. The fuzzy-based image processing decision support system will assist in the diabetic retinopathy screening and reduce the burden borne by the screening team.

Originalsprache	englisch
Titel	Brain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI
Redakteure/-innen	Yike Guo, Karl Friston, Aldo A. Faisal, Sean Hill, Hanchuan Peng
Erscheinungsort	Cham, Heidelberg, New York, Dordrecht, London
Herausgeber (Verlag)	Springer International
Seiten	379-388
Band	9250
Auflage	1
ISBN (elektronisch)	978-3-319-23344-4
ISBN (Print)	978-3-319-23343-7
DOIs	https://doi.org/10.1007/978-3-319-23344-4_37
Publikationsstatus	Veröffentlicht - 2015
Veranstaltung	Interactive Machine Learning with the “human-in-the-loop”: 8th international special session of the HCI-KDD expert group - Imperial College London, London, Großbritannien / Vereinigtes Königreich Dauer: 1 Sept. 2015 → 1 Sept. 2015 http://hci-kdd.org/bih2015-interactive-machine-learning/

Publikationsreihe

Name	Lecture Notes in Artificial Intelligence
Herausgeber (Verlag)	Springer
Band	9250

Konferenz

Konferenz	Interactive Machine Learning with the “human-in-the-loop”
Kurztitel	iML@BIH
Land/Gebiet	Großbritannien / Vereinigtes Königreich
Ort	London
Zeitraum	1/09/15 → 1/09/15
Internetadresse	http://hci-kdd.org/bih2015-interactive-machine-learning/

ASJC Scopus subject areas

Artificial intelligence

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)
Experimental

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

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

DETECTION-RETINOPATHY-FUZZY-MACHINE-LEARNING-2015.pdfEndgültige, publizierte Fassung, 1,11 MB

Andere Dateien und Links

http://rd.springer.com/chapter/10.1007%2F978-3-319-23344-4_37#

Interactive Machine Learning with the “human-in-the-loop”
Holzinger, A. (Teilnehmer/-in)
1 Sept. 2015
Aktivität: Teilnahme an / Organisation von › Workshop, Seminar oder Kurs (Teilnahme an/Organisation von)

Dieses zitieren

Rahim, S. S., Palade, V., Jayne, C., Holzinger, A., & Shuttleworth, J. (2015). Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing. in Y. Guo, K. Friston, A. A. Faisal, S. Hill, & H. Peng (Hrsg.), Brain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI (1 Aufl., Band 9250, S. 379-388). (Lecture Notes in Artificial Intelligence; Band 9250). Springer International. https://doi.org/10.1007/978-3-319-23344-4_37

Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing. / Rahim, Sami Suhaila; Palade, Vasile; Jayne, Chrisina et al.
Brain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI. Hrsg. / Yike Guo; Karl Friston; Aldo A. Faisal; Sean Hill; Hanchuan Peng. Band 9250 1. Aufl. Cham, Heidelberg, New York, Dordrecht, London: Springer International, 2015. S. 379-388 (Lecture Notes in Artificial Intelligence; Band 9250).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Buch/Bericht › Begutachtung

Rahim, SS, Palade, V, Jayne, C, Holzinger, A & Shuttleworth, J 2015, Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing. in Y Guo, K Friston, AA Faisal, S Hill & H Peng (Hrsg.), Brain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI. 1 Aufl., Bd. 9250, Lecture Notes in Artificial Intelligence, Bd. 9250, Springer International, Cham, Heidelberg, New York, Dordrecht, London, S. 379-388, Interactive Machine Learning with the “human-in-the-loop”, London, Großbritannien / Vereinigtes Königreich, 1/09/15. https://doi.org/10.1007/978-3-319-23344-4_37

Rahim SS, Palade V, Jayne C, Holzinger A, Shuttleworth J. Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing. in Guo Y, Friston K, Faisal AA, Hill S, Peng H, Hrsg., Brain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI. 1 Aufl. Band 9250. Cham, Heidelberg, New York, Dordrecht, London: Springer International. 2015. S. 379-388. (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-319-23344-4_37

Rahim, Sami Suhaila ; Palade, Vasile ; Jayne, Chrisina et al. / Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing. Brain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI. Hrsg. / Yike Guo ; Karl Friston ; Aldo A. Faisal ; Sean Hill ; Hanchuan Peng. Band 9250 1. Aufl. Cham, Heidelberg, New York, Dordrecht, London : Springer International, 2015. S. 379-388 (Lecture Notes in Artificial Intelligence).

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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 image acquisition, image preprocessing with a combination of fuzzy techniques, feature extraction, and image classification by using several machine learning techniques. The fuzzy-based image processing decision support system will assist in the diabetic retinopathy screening and reduce the burden borne by the screening team.",

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AU - Shuttleworth, James

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AB - 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 image acquisition, image preprocessing with a combination of fuzzy techniques, feature extraction, and image classification by using several machine learning techniques. The fuzzy-based image processing decision support system will assist in the diabetic retinopathy screening and reduce the burden borne by the screening team.

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Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

UN SDGs

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Aktivitäten

Interactive Machine Learning with the “human-in-the-loop”

Dieses zitieren