Transformer-based 3D U-Net with attention blocks for Kidney Tumor Segmentation

Bohdan Petryshak, Danylo Kolinko,Igor Krashenyi, Dmytro, Fishman

semanticscholar(2021)

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摘要
Here we describe our envisioned solution to The 2021 Kidney and Kidney Tumor Segmentation Challenge which constitutes training the original U-Net architecture with a wide range of modifications, including transformers, residual connections and attention blocks. Once quantitative results are obtained we are happy to modify the present paper.
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