使用扭曲和随机抽样一致性算法对视神经乳头进行分割。
Segmentation of optic nerve head using warping and RANSAC.
作者信息
Kim Sun Kwon, Kong Hyoun-Joong, Seo Jong-Mo, Cho Bum Joo, Park Ki Ho, Hwang Jeong Min, Kim Dong-Myung, Chung Hum, Kim Hee Chan
机构信息
Interdisciplinary Program, Biomedical Engineering Major, Graduate School of Seoul National University, Seoul, Korea.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:900-3. doi: 10.1109/IEMBS.2007.4352436.
Glaucoma is the second leading cause of blindness, and the retinal nerve fiber layer (RNFL) defect is the early sign of the glaucomatous optic nerve damage. To evaluate the RNFL, segmentation of the optic nerve head on the RNFL photograph should be the first step. This paper presents segmentation of optic nerve head using warping and random sample consensus (RANSAC). Sensitivity and positive predictability of the proposed method were 91% and 78% respectively.
青光眼是导致失明的第二大主要原因，而视网膜神经纤维层（RNFL）缺损是青光眼性视神经损伤的早期迹象。为了评估RNFL，在RNFL照片上对视神经头进行分割应是第一步。本文提出了一种使用扭曲和随机抽样一致性（RANSAC）对视神经头进行分割的方法。该方法的灵敏度和阳性预测值分别为91%和78%。
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