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.

翻译：基于U-Net模型，采用空洞卷积与残差块，提出了一种针对人隐静脉曲张光学相干断层扫描图像的深度学习分割模型，其准确率达到0.9932。