2.5D CNN

Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images

Pulmonary vessel segmentation is important for clinical diagnosis of pulmonary diseases, while is also challenging due to the complicated structure. In this work, we present an effective framework and refinement process of pulmonary vessel segmentation from chest computed tomographic (CT) images.