A Semi-automated System for Optic Nerve Head Segmentation in Digital Retinal Images

Sayan Chakraborty, Aniruddha Mukherjee, Debmalya Chatterjee, Prasenjit Maji, S. Acharjee, N. Dey
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引用次数: 15

Abstract

Out of the twelve pairs of cranial nerves, optic nerve is the most important cranial nerve. Optic nerve establishes a connection from eyeball to brain. The four segments present in optic are: intraocular, intra-orbital, intracanalicular, and intracranial. Optical nerve head segmentation may lead to detection of many diseases such as glaucoma, eye hypertension. We propose a semi-automated system, where independent contours are defined, and then with the help of those ground truths, a person with medical education and solid experience in ophthalmology will be able to manually set the contours. Such a process would result in extracting information regarding optic diseases like glaucoma, diabetic retinopathy, age-related macular degeneration, retinal vascular occlusion.
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数字视网膜图像中视神经头分割的半自动化系统
在十二对脑神经中,视神经是最重要的脑神经。视神经连接眼球和大脑。视神经有四个节段:眼内、眶内、管内和颅内。视神经头分割可用于青光眼、眼高血压等多种疾病的检测。我们提出了一个半自动化的系统,其中独立的轮廓被定义,然后在这些基本事实的帮助下,具有医学教育和扎实的眼科经验的人将能够手动设置轮廓。这样的过程将导致提取信息的光学疾病,如青光眼,糖尿病视网膜病变,年龄相关性黄斑变性,视网膜血管闭塞。
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