The exceptional capability of the deep convolution neural network lies in its proficiency in image feature extraction and learning, particularly in the domain of medical image processing [3]. The integration of deep learning and medical image field has significantly accelerated the advancement of intelligent medicine, and the employment of deep learning in diagnostic procedures is increasingly becoming a prevalent practice. The general framework for DR diagnosis encompasses data acquisition, medical image labeling, detection of lesion areas, lesion classification, and model assessment. Currently, diabetic retinopathy diagnosis heavily relies on global images for classification, which is prone to disruption from comparable samples, ultimately impacting the model's classification efficacy [4]

不改变原意使其更有逻辑改写:The deep convolution neural network has outstanding ability in image feature extraction and learning especially in the field of medical image processing 3 The combination of deep learnin

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