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

03/02/2023

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by   Maryam Viqar, et al.

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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.