Ruipu Tang

Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation

Information retrieved from three dimensions is treated uniformly in CNN-based volumetric segmentation methods. However, such neglect of axial disparities fails to capture true spatio-temporal variations. This paper introduces the volumetric axial disentanglement to address the disparities in spatial