Deep Learning based Segmentation of Optical Coherence Tomographic Images of Human Saphenous Varicose Vein

arxiv(2023)

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摘要
Deep-learning based segmentation model is proposed for Optical Coherence Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residual blocks, which gives an accuracy of 0.9932.
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关键词
optical coherence tomographic images,vein,deep learning,segmentation
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