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Design new algorithm for early detection of primary open angle glaucoma using retinal Optic Cup to Disc Ratio

机译:用视网膜光学杯设计新的初级开角青光眼的新算法

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Glaucoma is one of the eye disease. In glaucoma optic nerve head is damaged, due to intra ocular pressure is increased and if it is not cured earlier then it can cause permanent vision loss. This paper represents algorithm for detection of glaucoma using Optic Cup to Disc Ratio. For this work we have used 2D median filter and Multi threshold methods. On high resolution colored retinal funds images, which are freely available. Messidore dataset which contains 1200 images and RIM-ONE database have 455 images. We have extracted the optic cup and optic disc. Then we have calculated its CDR. On the first 100 normal images from RIM-ONE database we got the 100% Normal and 0% Glaucomatous result. We got 67% Glaucomatous and 33% Normal images accuracy on 100 glaucoma and glaucoma suspicious images from the same database. And we got 68% Glaucomatous and 32% Normal images results from first 100 images from Messidore database.
机译:青光眼是眼病之一。在青光眼视神经头中受损,由于眼压内增加,如果它未提前固化,那么它会导致永久视觉损失。本文代表了使用光学杯对光盘比检测青光眼的算法。对于这项工作,我们使用了2D中值过滤器和多阈值方法。在彩色视网膜资金图像上,可自由使用。 Messidore DataSet包含1200张图像和RIM-One数据库有455个图像。我们提取了光学杯和光盘。然后我们已经计算了其CDR。在RIM-ONE数据库的前100个正常图像上,我们得到了100%正常和0%的绿色肿瘤结果。我们从同一数据库中获得了100个青光眼和青光眼可疑图像的67%的葡萄球菌和33%的正常图像准确性。我们得到了68%的魅力和32%的正常图像结果来自Messidore数据库的前100张图片。

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