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利用眼底照片开发一种用于青光眼的简单诊断方法。

Development of a simple diagnostic method for the glaucoma using ocular Fundus pictures.

作者信息

Inoue Naoto, Yanashima Kenji, Magatani Kazushige, Kurihara Takuro

机构信息

Dept. of Electr. Eng., Tokai Univ., Kanagawa.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3355-8. doi: 10.1109/IEMBS.2005.1617196.

DOI:10.1109/IEMBS.2005.1617196
PMID:17280941
Abstract

There are approximately 2 million people who have glaucoma. And about 90% of glaucoma patients have chronic type disease, and most of them do not notice of their disease. Finally they will lost their eyesight by this disease. Therefore, it is necessary to develop the auto diagnostic method for glaucoma. Our objective of this study is the development of the auto diagnostic system for the glaucoma by using fundus photograph. In our system, digitized fundus photograph is tested in personal computer, and the ratio of the area of optic disk and the area of optic disk cup (named C/D ratio) is calculated and evaluated automatically. And then this system can checkup subject condition for glaucoma. In this paper, we will discuss our auto diagnostic system for the glaucoma.

摘要

约有200万人患有青光眼。约90%的青光眼患者患有慢性疾病,其中大多数人并未察觉自己患病。最终他们会因这种疾病而失明。因此,开发青光眼的自动诊断方法很有必要。本研究的目标是利用眼底照片开发青光眼自动诊断系统。在我们的系统中,数字化的眼底照片在个人电脑上进行检测,自动计算并评估视盘面积与视盘杯面积的比值(称为C/D比值)。然后该系统可以检查受试者的青光眼病情。在本文中,我们将讨论我们的青光眼自动诊断系统。

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Development of a simple diagnostic method for the glaucoma using ocular Fundus pictures.利用眼底照片开发一种用于青光眼的简单诊断方法。
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3355-8. doi: 10.1109/IEMBS.2005.1617196.
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Sensors (Basel). 2019 Oct 11;19(20):4401. doi: 10.3390/s19204401.
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Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation.用于三维视神经乳头光学相干断层扫描图像分割的具有自适应约束的共享孔图搜索
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Optic disc segmentation for glaucoma screening system using fundus images.
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Clin Ophthalmol. 2017 Nov 15;11:2017-2029. doi: 10.2147/OPTH.S140061. eCollection 2017.
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Optic cup segmentation from fundus images for glaucoma diagnosis.用于青光眼诊断的眼底图像视杯分割
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Validating retinal fundus image analysis algorithms: issues and a proposal.验证视网膜眼底图像分析算法:问题与建议。
Invest Ophthalmol Vis Sci. 2013 May 1;54(5):3546-59. doi: 10.1167/iovs.12-10347.