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Head and Neck Tumor Segmentation for MR-Guided Applications First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings
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ArtikelSerie: Utgivningsinformation: Cham Springer Nature Springer Nature Switzerland [Imprint] 2025Beskrivning: 1 electronic resource (276 p.)Innehållstyp: - text
- computer
- online resource
- 9783031832734
- 9783031832741
- Medicine
- Nursing and ancillary services
- Biomedical engineering
- Computing and Information Technology
- Computer science
- Artificial intelligence
- Machine learning
- Image processing
- M Medicine and Nursing
- MQ Nursing and ancillary services
- MQW Biomedical engineering
- U Computing and Information Technology
- UY Computer science
- UYQ Artificial intelligence
- UYQM Machine learning
- UYT Image processing
- artificial intelligence
- head and neck cancer
- magnetic resonance imaging
- medical imaging
- oncology
- oropharyngeal cancer
- radiation
- radiotherapy
- segmentation
- thema EDItEUR
- tumor
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Open Access Unrestricted online access star
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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Creative Commons Licence cc by cc http://creativecommons.org/licenses/by/4.0/
eng
Freely available e-book