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Head and Neck Tumor Segmentation for MR-Guided Applications

Head and Neck Tumor Segmentation for MR-Guided Applications

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This Open Access book constitutes the refereed proceedings of the First MICCAI Challenge, HNTSMRG 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 17, 2024. The 20 full papers and 1 overview paper included in this volume were carefully reviewed and selected from a total of 21 submissions. The HNTS-MRG 2024 Challenge focuses on advancing clinical workflows by leveraging artificial intelligence (AI) for automated segmentation of tumor regions in multi-timepoint MRI scans.

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  1. 4 - pdf (CC BY) at OAPEN Library.

Keywords

  • artificial intelligence
  • Head and Neck Cancer
  • Magnetic Resonance Imaging
  • Medical imaging
  • oncology
  • oropharyngeal cancer
  • radiation
  • Radiotherapy
  • segmentation
  • thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
  • tumor

Links

DOI: 10.1007/978-3-031-83274-1

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