【摘 要】
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The automatic detection of the diabetic retinopathy is of importance,as it is the main cause of irreversible vision lost in the working-age population in the developed world.Early detection of diabeti
【出 处】
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第二届中国计算机学会生物信息学会议
论文部分内容阅读
The automatic detection of the diabetic retinopathy is of importance,as it is the main cause of irreversible vision lost in the working-age population in the developed world.Early detection of diabetic retinopathy occurrence can be greatly helpful for the clinical treatment,although several different feature extraction approaches have been proposed,the classification task for retinal images is still tedious even for the trained clinicians.Recently,deep convolutional neural networks have manifested superior performance in image classification compared to previous handcrafted feature-based image classification methods.
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