Fig. 6From: Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attentionVisualization and comparison of proposed deep learning method and state-of-art machine learning-based methods using raw volume as input with post-processing. Three row indicates different genres of methods. First row: (a) ground truth result which is most similar to our result. Second row: (b), (c), (d) the traditional 3d medical image methods. Third row:(e), (f), (g) the modern deep learning methods in the journals and our methodBack to article page