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Journal of Imaging Informatics in Medicine

Erschienen in:

01.08.2010

Automatic Detection of Microaneurysms and Hemorrhages in Digital Fundus Images

verfasst von: Giri Babu Kande, T. Satya Savithri, P. Venkata Subbaiah

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 4/2010

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Abstract

An efficient approach for automatic detection of red lesions in ocular fundus images based on pixel classification and mathematical morphology is proposed. Experimental evaluation of the proposed approach demonstrates better performance over other red lesion detection algorithms, and when determining whether an image contains red lesions the proposed approach achieves a sensitivity of 100% and specificity of 91%.

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Titel: Automatic Detection of Microaneurysms and Hemorrhages in Digital Fundus Images
verfasst von: Giri Babu Kande
T. Satya Savithri
P. Venkata Subbaiah
Publikationsdatum: 01.08.2010
Verlag: Springer-Verlag
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 4/2010
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-009-9246-0

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Automatic Detection of Microaneurysms and Hemorrhages in Digital Fundus Images

Abstract

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Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

Wie toxische Männlichkeit der Gesundheit von Männern schadet

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Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

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