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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images.

, , , , , , , , , , and . HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 1-37. Springer, (2021)

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Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT., , , , , , , , and . HECKTOR@MICCAI, volume 12603 of Lecture Notes in Computer Science, page 1-21. Springer, (2020)Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images., , , , , , , , , and 1 other author(s). HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 1-37. Springer, (2021)Head and neck tumor segmentation in PET/CT: The HECKTOR challenge., , , , , , , , , and 17 other author(s). Medical Image Anal., (2022)Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques., , , , , and . SWAT4HCLS, volume 2849 of CEUR Workshop Proceedings, page 143-144. CEUR-WS.org, (2019)Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT., , , , , , , , , and 21 other author(s). HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 1-30. Springer, (2022)Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans., , , , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 33-43. PMLR, (2020)