3D Unet-based Kidney and Kidney Tumer Segmentation with Attentive Feature Learning
Qingyi Tao, Zhonghua Wu, Isaac Cheong, Jingyi Yang, Zongyuan Ge, Guosheng Lin, Jianfei Cai · 2019
To study the kidney diseases and kidney tumor from Computed Tomography(CT) imaging data, it is helpful to segment the region of interest through computer aided auto-segmentation tool.In the KiTs 2019 challenge [1], we are provided 3D volumetric CT data to train a model for kidney and kidney tumor segmentation.We introduce an improved deep 3D Unet by enriching the feature representation in CT images using an attention module.We achieve 1.5% improvement in the segmentation accuracy when evaluated on the validation set.