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Kidney and renal tumor segmentation are critical aspects to the diagnosis process. However, segmentation is a time consuming and tedious task, especially for volume segmentation. To help with this issue, we test a simple two-dimensional U-Net are architecture for automating the segmentation process for both regions of interests. In doing so, we found that the vanilla U-Net was able to achieve a local tumor-kidney test dice of 0.91 and tumor-only dice of 0.25 and leaderboard scores of 0.85 and 0.22.

A 2D U-Net for Automated Kidney and Renal Tumor Segmentation