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Head and Neck Tumor Segmentation for MR-Guided Applications

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...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: Springer Nature 2025
Soggetti:
artificial intelligence
medical imaging
magnetic resonance imaging
radiotherapy
radiation
oncology
segmentation
tumor
head and neck cancer
oropharyngeal cancer
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
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
Accesso online:ONIX_20250313_9783031832741_24
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Riassunto: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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