A review on automatic analysis techniques for color fundus photographs

In this paper, we give a review on automatic image processing tools to recognize diseases causing specific distortions in the human retina. After a brief summary of the biology of the retina, we give an overview of the types of lesions that may appear as biomarkers of both eye and non-eye diseases....

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Bibliographic Details
Published in:Computational and structural biotechnology journal 2016-01, Vol.14 (C), p.371-384
Main Authors: Besenczi, Renátó, Tóth, János, Hajdu, András
Format: Article
Language:English
Subjects:
Biomedical imaging
Clinical decision support
Fundus image analysis
Retinal diseases
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Summary:In this paper, we give a review on automatic image processing tools to recognize diseases causing specific distortions in the human retina. After a brief summary of the biology of the retina, we give an overview of the types of lesions that may appear as biomarkers of both eye and non-eye diseases. We present several state-of-the-art procedures to extract the anatomic components and lesions in color fundus photographs and decision support methods to help clinical diagnosis. We list publicly available databases and appropriate measurement techniques to compare quantitatively the performance of these approaches. Furthermore, we discuss on how the performance of image processing-based systems can be improved by fusing the output of individual detector algorithms. Retinal image analysis using mobile phones is also addressed as an expected future trend in this field.
ISSN:2001-0370
2001-0370
DOI:10.1016/j.csbj.2016.10.001