Jordan, Kirsty C and Menolotto, Matteo and Bolster, Nigel M and Livingstone, Iain AT and Giardini, Mario E (2017) A review of feature-based retinal image analysis. Expert Review of Ophthalmology. ISSN 1746-9899
Jordan_etal_ERO_2017_A_review_of_feature_based_retinal_image_analysis.pdf - Accepted Author Manuscript
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Retinal imaging is a fundamental tool in ophthalmic diagnostics. The potential use of retinal imaging within screening programs, with consequent need to analyze large numbers of images with high throughput, is pushing the digital image analysis field to find new solutions for the extraction of specific information from the retinal image. The aim of this review is to explore the latest progress in image processing techniques able to recognize specific retinal image features. and potential features of disease. In particular, this review aims to describe publically available retinal image databases, highlight different performance evaluators commonly used within the field, outline current approaches in feature-based retinal image analysis, and to map related trends. This review found two key areas to be addressed for the future development of automatic retinal image analysis: fundus image quality and the affect image processing may impose on relevant clinical information within the images. Performance evaluators of the algorithms reviewed are very promising, however absolute values are difficult to interpret when validating system suitability for use within clinical practice.
|Notes:||The Version of Record of this manuscript will be published and available in Expert Review of Ophthalmology 2017 http://www.tandfonline.com/10.1080/17469899.2017.1307105.|
|Keywords:||feature extraction, retinal images, segmentation, fundoscopy, image processing, fundus imaging, retinal photography, retina, Bioengineering, Ophthalmology, Biomedical Engineering, Ophthalmology, Computer Vision and Pattern Recognition|
|Subjects:||Technology > Engineering (General). Civil engineering (General) > Bioengineering
Medicine > Ophthalmology
|Department:||Faculty of Engineering > Biomedical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||20 Mar 2017 10:11|
|Last modified:||27 Apr 2017 18:40|