Fully Automatic Segmentation of Kidney and Tumor Based on Cascaded U-Nets
Yu Li · 2019
Fully automatic segmentation of kidney and its lesions is an important step to obtain accurate clinical diagnosis and computer aided decision support system.In this paper, a method of automatic segmentation of kidney and renal tumor in CT abdominal images using cascade 3D U-Net convolutional neural network (3D cU-Nets) is presented.We trained and cascaded two 3D U-Nets for the joint segmentation of kidney and renal tumor.In the first step, we trained a 3D U-Net to segment kidney as the ROI input for the second 3D u-net.The second 3D U-Net only segmented the lesion from the renal ROI predicted in step 1.