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首页> 外文期刊>Journal of Ophthalmology >Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey
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Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey

机译:青光眼图像检测的视盘和视杯分割方法:一项调查

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摘要

Glaucoma is the second leading cause of loss of vision in the world. Examining the head of optic nerve (cup-to-disc ratio) is very important for diagnosing glaucoma and for patient monitoring after diagnosis. Images of optic disc and optic cup are acquired by fundus camera as well as Optical Coherence Tomography. The optic disc and optic cup segmentation techniques are used to isolate the relevant parts of the retinal image and to calculate the cup-to-disc ratio. The main objective of this paper is to review segmentation methodologies and techniques for the disc and cup boundaries which are utilized to calculate the disc and cup geometrical parameters automatically and accurately to help the professionals in the glaucoma to have a wide view and more details about the optic nerve head structure using retinal fundus images. We provide a brief description of each technique, highlighting its classification and performance metrics. The current and future research directions are summarized and discussed.
机译:青光眼是世界上第二大视力丧失的主要原因。检查视神经头部(杯碟比)对于诊断青光眼和诊断后进行患者监测非常重要。通过眼底照相机以及光学相干断层扫描获取视盘和视杯的图像。视盘和视杯分割技术用于隔离视网膜图像的相关部分,并计算视盘比。本文的主要目的是回顾针对椎间盘和杯边缘的分割方法和技术,这些方法和技术可用于自动,准确地计算椎间盘和杯的几何参数,以帮助青光眼的专业人士广泛了解和了解眼底图像使用视网膜眼底图像。我们提供每种技术的简要说明,重点介绍其分类和性能指标。总结和讨论了当前和未来的研究方向。

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