  The kidney cancer is one of the most common cancer types. The treatment
frequently include surgical intervention. However, surgery is in this case
particularly challenging due to regional anatomical relations. Organ
delineation can significantly improve surgical planning and execution. In this
contribution, we propose ensemble of two fully convolutional networks for
segmentation of kidney, tumor, veins and arteries. While SegResNet architecture
achieved better performance on tumor, the nnU-Net provided more precise
segmentation for kidneys, arteries and veins. So in our proposed approach we
combine these two networks, and further boost the performance by mixup
augmentation.

Image and Video Processing;Computer Vision and Pattern Recognition