Machine learning approach to automatic exudate detection in retinal images from diabetic patients

Sopharak, Akara, Dailey, Matthew N., Uyyanonvara, Bunyarit, Barman, Sarah, Williamson, Tom, Nwe, Khine Thet and Moe, Yin Aye (2010) Machine learning approach to automatic exudate detection in retinal images from diabetic patients. Journal of Modern Optics, 57(2), pp. 124-135. ISSN (print) 0950-0340

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Item Type: Article
Additional Information: This work was supported by was supported by the Thailand National Electronics and Computer Technology Center (NECTEC) and by Thailand Research Fund Grant MRG4780209.
Uncontrolled Keywords: exudate, diabetic retinopathy, naive bayes classifier, support vector machine, nearest neighbour classifier, fundus images, retinopathy, classification
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Computing, Information Systems and Mathematics (until 2011)
Faculty of Computing, Information Systems and Mathematics (until 2011) > Digital Imaging Research Centre (DIRC)
Depositing User: Automatic Import Agent
Date Deposited: 16 Mar 2010 10:42
Last Modified: 18 Nov 2011 15:46
URI: http://eprints.kingston.ac.uk/id/eprint/9031

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