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Automatic optic disc and optic cup detection in retinal images acquired by mobile phone

机译:手机获取的视网膜图像中的自动视盘和视杯检测

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Medical image processing plays an important role in the automatic detection of certain eye diseases, disease documentation, treatment monitoring and educational purposes. The continuous improvement of the hardware of mobile phones gives us the ability to capture images like this. Interesting question can be: are these images suitable for automatic image processing, or more specifically, how much information can be obtained from this kind of images? In this paper, we would like to investigate whether a mobile device suitable to use as a medical diagnostic tool. We present a comparison between images made by a mobile device and a clinical eye examination one. We perform optic disc and optic cup detection from which we calculate cup to disc ratio. Our results show that images acquired by mobile phone are suitable for automatic image processing. Beyond these, a database of images were set up to allow researchers to test their algorithms and methods for image processing.
机译:医学图像处理在某些眼部疾病的自动检测,疾病记录,治疗监测和教育目的中起着重要作用。手机硬件的不断改进使我们能够捕获这样的图像。有趣的问题是:这些图像是否适合自动图像处理,或更具体地说,可以从此类图像中获取多少信息?在本文中,我们想研究一种移动设备是否适合用作医疗诊断工具。我们提出了一种由移动设备和临床眼科检查图像之间的比较。我们执行视盘和视杯检测,从中计算出杯与盘的比率。我们的结果表明,通过手机获取的图像适合于自动图像处理。除此之外,还建立了图像数据库,以使研究人员能够测试其图像处理算法和方法。

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