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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| Format: | Online |
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| Language: | English |
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Springer Nature
2025
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| Online Access: | ONIX_20250313_9783031832741_24 |
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| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-157644 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1576442025-07-30T09:00:04Z Head and Neck Tumor Segmentation for MR-Guided Applications Wahid, Kareem A. Dede, Cem Naser, Mohamed A. Fuller, Clifton D. 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 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 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. 2025-03-23T01:34:48Z 2025-03-23T01:34:48Z 2025-03-13T10:09:40Z 2025 book ONIX_20250313_9783031832741_24 https://library.oapen.org/handle/20.500.12657/99887 9783031832741 9783031832734 https://directory.doabooks.org/handle/20.500.12854/157644 eng Lecture Notes in Computer Science open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/99887/1/9783031832741.pdf Springer Nature Springer Nature Switzerland 10.1007/978-3-031-83274-1 10.1007/978-3-031-83274-1 9fa3421d-f917-4153-b9ab-fc337c396b5a 794c9640-5d26-48b0-8166-74a418d1da08 4fc0f880-18d5-4475-a593-769bdc67572e 9783031832741 9783031832734 Springer Nature Switzerland 276 Cham [...] [...] open access |
| spellingShingle | 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 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 Head and Neck Tumor Segmentation for MR-Guided Applications |
| title | Head and Neck Tumor Segmentation for MR-Guided Applications |
| title_full | Head and Neck Tumor Segmentation for MR-Guided Applications |
| title_fullStr | Head and Neck Tumor Segmentation for MR-Guided Applications |
| title_full_unstemmed | Head and Neck Tumor Segmentation for MR-Guided Applications |
| title_short | Head and Neck Tumor Segmentation for MR-Guided Applications |
| title_sort | head and neck tumor segmentation for mr guided applications |
| topic | 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 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 |
| topic_facet | 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 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 |
| url | ONIX_20250313_9783031832741_24 |