Automated Machine Learning algorithm for Kidney, Kidney tumor, Kidney Cyst segmentation in Computed Tomography Scans

Vivek Pawar

Keywords: Kits21, Kidney Segmentation, Unet

Abstract: In this paper, we have described an automated algorithm for accurate segmentation of kidney, kidney tumor and kidney cyst from CT scans. The Dataset for this problem was made available online as part of KiTS21 Challenge. Our model uses a 2 stage cascaded Residual Unet architecture. The first network is designed to predict (Kidney + Tumor + Cyst) regions.The second network predicts segmented tumor and cyst regions from the output of the first network. The paper contains implementation details along with results on the test set.