Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers

no code implementations • 26 Jan 2022 • Georg Hille, Shubham Agrawal, Pavan Tummala, Christian Wybranski, Maciej Pech, Alexey Surov, Sylvia Saalfeld

With Dice scores of averaged 98+-2% for liver and 81+-28% lesion segmentation on the MRI dataset and 97+-2% and 79+-25%, respectively on the CT dataset, the proposed SWTR-Unet proved to be a precise approach for liver and hepatic lesion segmentation with state-of-the-art results for MRI and competing accuracy in CT imaging.

Computed Tomography (CT) Image Segmentation +3