Identification of suitable fundus images using automated quality assessment methods-Reference-Cited by-同舟云学术

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Identification of suitable fundus images using automated quality assessment methods

Published:2014-04-09 Issue:4 Volume:19 Page:046006
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:en
Short-container-title:J. Biomed. Opt

Author:

Sevik Ugur¹,Köse Cemal²,Berber Tolga¹,Erdöl Hidayet³

Affiliation:

1. Karadeniz Technical University, Department of Statistics and Computer Science, Faculty of Science, Trabzon 61080, Turkey

2. Karadeniz Technical University, Department of Computer Engineering, Faculty of Engineering, Trabzon 61080, Turkey

3. Karadeniz Technical University, Department of Ophthalmology, Faculty of Medicine, Trabzon 61080, Turkey

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

Reference39 articles.

1. Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images

2. Automated quality assessment of retinal fundus photos

3. Automated Assessment of Diabetic Retinal Image Quality Based on Clarity and Field Definition

4. Elliptical local vessel density: a fast and robust quality metric for retinal images;Giancardo,2008

5. Automatic visual quality assessment in optical fundus images;Lalonde,2001

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