@article{da8e7fc4c8b048c6a88fab5a08f4ea03,
title = "Machine learning approach to automatic exudate detection in retinal images from diabetic patients",
keywords = "exudate, diabetic retinopathy, naive bayes classifier, support vector machine, nearest neighbour classifier, fundus images, retinopathy, classification, Computer science and informatics",
author = "Akara Sopharak and Dailey, \{Matthew N.\} and Bunyarit Uyyanonvara and Sarah Barman and Tom Williamson and Nwe, \{Khine Thet\} and Moe, \{Yin Aye\}",
note = "Note: This work was supported by was supported by the Thailand National Electronics and Computer Technology Center (NECTEC) and by Thailand Research Fund Grant MRG4780209.",
year = "2010",
month = jan,
doi = "10.1080/09500340903118517",
language = "English",
volume = "57",
pages = "124--135",
journal = "Journal of Modern Optics",
issn = "0950-0340",
publisher = "Taylor and Francis Ltd.",
number = "2",
}