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RETINAL VASCULAR DISEASE DETECTION FROM RETINAL FUNDUS IMAGES USING MACHINE LEARNING

机译：利用机器学习技术检测视网膜眼底图像中的视网膜血管疾病

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#$%^&*AU2020101450A420200827.pdf#####RETINAL VASCULAR DISEASE DETECTION FROM RETINAL FUNDUS IMAGES USING MACHINE LEARNING ABSTRACT One of the essential senses in the human body is the eyesight. A human existence is meaningful in the world only by the vision. So any malfunction in the vision of the human eye has to be handled with highest priority. So even in the world, there are number of scientific technologies implement lot of changes in biomedical field, the technology related to vision finds its significance. The researchers proven that the vision blurriness or the vision loss not only caused by the change in human eye power but also reflects malfunction of other parts of the body. As, the blood vessels that carry blood oxygen flow through the body and especially the blood vessels that is at the back of the eye connects to the heart. So even the heart related disorder also reflects in the eye. Not only heart, other functions like liver, kidney and inflammatory disease reflect in human eye. So detection of retinal vascular disease is very essential. For this function, the fundus images from the retina are observed by fundus camera and then only the luminous green is considered to undergo processing. CLAHE is deployed to categorize pixels of similar characteristics and noise is removed by filters. By deploying machine learning, mean-C threshold method with convolution, computation is performed and non-vessel images are removed. By making accurate predictions, the eye-care specialist can make proper diagnosis and give good consultation to the patients. 1 P a g eRETINAL VASCULAR DISEASE DETECTION FROM RETINAL FUNDUS IMAGES USING MACHINE LEARNING Diagram ELIMINATE NON-VESE AGE &DISPLAYPREDICTION Fig.1 Block diagram 1|P a g e
机译：＃$％^＆* AU2020101450A420200827.pdf #####从视网膜眼底图像检出视网膜血管疾病使用机器学习抽象视力是人体中必不可少的感官之一。人类的存在是在世界上只有通过愿景才有意义。因此，人类视野中的任何故障眼睛必须得到最高优先处理。因此，即使在世界范围内，技术在生物医学领域实现了许多变化，与视觉相关的技术找到其意义。研究人员证明，视力模糊或视力丧失不是不仅是由于人眼力量的变化引起的，而且还反映了身体。例如，携带血氧的血管流经人体，尤其是眼睛后面的血管连接到心脏。因此，即使与心脏有关失调也反映在眼睛上。不仅心脏，还有肝，肾和其他功能炎症反应在人眼中。所以视网膜血管疾病的检测非常必要。为此，可通过眼底照相机观察视网膜的眼底图像然后仅将发光绿色视为进行处理。部署了CLAHE对具有相似特征的像素进行分类，并通过滤镜去除噪点。通过部署机器学习，具有卷积的均值C阈值方法，执行计算并非血管图像被删除。通过做出准确的预测，眼保健专家可以做出正确的诊断并给予患者良好的咨询。1页从视网膜眼底图像检出视网膜血管疾病使用机器学习图表消除无船年龄和显示图1方框图1 |页

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