Blakely, Sokoloff, Taylor & Zafman LLP
Methods and systems for automatic location of optic structures in an image of an eye, and for automatic retina cup-to-disc ratio computation
A method is proposed for automatically locating the optic disc or the optic cup in an image of the rear of an eye. A portion of the image containing the optic disc or optic cup is divided into sub-regions using a clustering algorithm. Biologically inspired features, and optionally other features, are obtained for each of the sub-regions. An adaptive model uses the features to generate data indicative of whether each sub-region is within or outside the optic disc or optic cup. The result is then smoothed, to form an estimate of the position of the optic disc or optic cup.
Singapore Health Services Pte Ltd Agency for Science, Technology and Research
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Xinting Jiang Baskaran Zhuo Fengshou Beng Hai Wing Kee Damon Jun Yanwu Yim-lui Carol Tien Yin Tin Ngan Meng Ching-Yu Xiangang
Gao Liu Mani Zhang Yin Lee Wong Cheng Xu Cheung Wong Aung Tan Cheng Cheng