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Image Segmentation Technology Application in Diabetic Retinopathy Analysis

机译:图像分割技术在糖尿病性视网膜病变分析中的应用

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Selection of clinical image of the fundus and fundus fluoresce in angiography (fundus fluoresce in angiography, FFA) image as the research object, using image segmentation method on diabetic retinopathy (Diabetic Retinopathy, DR) vascular processing and analysis, in order to improve clinical diagnostic accuracy and efficiency. The experimental results show that image processing and analysis methods for normal retinal images and image segmentation are relatively complete vascular lesions and the image of the fundus and fundus fluoresce in angiography (Fundus Fluoresce in Angiography FFA) images as compared to the more detailed and clear, precision is improved obviously. As the eye fundus blood vessel lesions in the early discovery, early diagnosis and further therapy provides a new theoretical basis.
机译:选择血管造影的眼底和眼底荧光的临床图像(血管造影的眼底荧光,FFA)图像作为研究对象,采用图像分割方法对糖尿病性视网膜病变(Diabetic Retinopathy,DR)进行血管处理和分析,以改善临床诊断准确性和效率。实验结果表明,针对正常视网膜图像和图像分割的图像处理和分析方法是相对完整的血管病变,与血管造影术中的眼底和眼底荧光图像(血管造影中的眼底荧光)图像相比,其更为详尽和清晰,精度明显提高。由于眼底血管病变的早期发现,早期诊断和进一步治疗提供了新的理论基础。

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