@article{ccc12fcf9bce47ad96245578d7f41618,
title = "Comparative analysis of automatic exudate detection between machine learning and traditional approaches date of evaluation",
keywords = "exudate, diabetic retinopathy, morphological, fuzzy c-means, naive Bayesian classifier, support vector machine, nearest neighbor classifier, diabetic-retinopathy, retinal images, fundus images, classification, tool",
author = "Akara Sopharak and Bunyarit Uyyanonvara and Sarah Barman and Tatjana Williamson",
year = "2009",
month = nov,
doi = "10.1587/transinf.E92.D.2264",
language = "English",
volume = "92",
pages = "2264--2271",
journal = "IEICE Transactions on Information and Systems",
issn = "0916-8532",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "11",
}