基于人工智能和图像处理的早期糖尿病视网膜病变检测与分类

C. Aravindan, R. Vasuki
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引用次数: 1

摘要

糖尿病视网膜病变是用来描述人眼视网膜血管受损的术语。糖尿病视网膜病变的症状是视力模糊,视力困难,甚至失明。随着时间的推移,人眼视网膜中的血管已经受损,这对人的视觉能力产生了影响。在现代世界,这是一个累积的问题。糖尿病视网膜病变分为轻度、中度、重度非增生性和增生性四个阶段。为了减少糖尿病视网膜病变的影响,早期诊断是必要的。因此,通过人工智能和图像处理,可以检测到糖尿病视网膜病变的早期阶段。这使得患者和眼科医生都能更快、更容易地进行疾病筛查。
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Detection and Classification of Early Stage Diabetic Retinopathy using Artificial Intelligence and Image Processing
Diabetic retinopathy is the term used to describe the damage to the blood vessels in the retina of the human eye. The symptoms of diabetic retinopathy are blurriness, difficulty in vision and even blindness can occur. The blood vessels in the retina of the human eye have been damaged over time, which has an impact on the person’s ability to see. It is a cumulative problem in the modern world. Diabetic retinopathy has four stages, including mild, moderate, and severe non proliferative and proliferative. To reduce the effects of diabetic retinopathy are early diagnosis is necessary. Thus, by using artificial intelligence and image processing, the early stage of diabetic retinopathy can be detected. This leads to faster and easier screening of disorder for both the patients and ophthalmologists.
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