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

2 Mar 2023 · Maryam Viqar, Violeta Madjarova, Amit Kumar Yadav, Desislava Pashkuleva, Alexander S. Machikhin ·

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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Segmentation

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Concatenated Skip Connection • Convolution • Max Pooling • ReLU • U-Net

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

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