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AutoPET 2022 challenge
Tumor segmentation in PET-CT images is challenging due to the dual nature of the acquired information: low metabolic information in CT and low spatial resolution in PET. -
Orlando Health
The dataset used for testing and validation of the proposed Monte Carlo Transformer-based U-Net (MC-Swin-U) architecture for tumor and OAR segmentation in radiation oncology... -
NSCLC-Radiomics
The dataset used for testing and validation of the proposed Monte Carlo Transformer-based U-Net (MC-Swin-U) architecture for tumor and OAR segmentation in radiation oncology...