Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2018 |
| Outros Autores: | , , , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| Texto Completo: | https://hdl.handle.net/1822/58905 |
Resumo: | Accepted manuscript |
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Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017AlgorithmsHumansOrgans at RiskRadiotherapy Planning, Computer-AssistedRadiotherapy, Image-GuidedThoraxTomography, X-Ray Computedautomatic segmentationgrand challengelung cancerradiation therapyCiências Médicas::Medicina BásicaScience & TechnologyAccepted manuscriptThis report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of American Association of Physicists in Medicine. The purpose of the challenge was to provide a benchmark dataset and platform for evaluating performance of autosegmentation methods of organs at risk (OARs) in thoracic CT images.The challenge organizers would like to thank Artem Mamonov and Andrew Beers from Harvard Medical School for providing valuable support in creating the challenge scoring system on the challenge website, Kirk Smith and Tracy Nolan from University of Arkansas for Medical Sciences for data curation to TCIA, Tim Lustberg from Maastro Clinic for data collection, and AAPM for sponsoring this challenge. Of the challenge participants, Brent van der Heyden would like to thank Frank Verhaegen and Mark Podesta for valuable discussions; Bruno Oliveira would like to thank Sandro Queirós, Pedro Morais, Helena R. Torres, Jaime C. Fonseca, João Gomes-Fonseca, and João L. Vilaça for all the contributions to his work; Leonid Zamdborg would like to acknowledge Thomas M Guerrero and Edward Castillo. This project was support in part by the CPRIT (Cancer Prevention Research Institute of Texas) grant No. RP110562-P2, the National Institutes of Health Cancer Center Support (Core) grant No. CA016672 to the University of Texas MD Anderson Cancer Center, and in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Governmentinfo:eu-repo/semantics/publishedVersionWileyUniversidade do MinhoYang, JinzhongVeeraraghavan, HariniArmato, Samuel G.Farahani, KeyvanKirby, Justin S.Kalpathy-Kramer, Jayashreevan Elmpt, WouterDekker, AndreHan, XiaoFeng, XueAljabar, PaulOliveira, Brunovan der Heyden, BrentZamdborg, LeonidLam, DaoGooding, MarkSharp, Gregory C.2018-082018-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/58905engYang, J., Veeraraghavan, H., Armato III, S. G., Farahani, K., Kirby, J. S., Kalpathy‐Kramer, J., ... & Aljabar, P. (2018). Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Medical physics, 45(10), 4568-45810094-24052473-420910.1002/mp.1314130144101https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.13141info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:37:13Zoai:repositorium.sdum.uminho.pt:1822/58905Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:33:28.983609Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
| dc.title.none.fl_str_mv |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| title |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| spellingShingle |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 Yang, Jinzhong Algorithms Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Thorax Tomography, X-Ray Computed automatic segmentation grand challenge lung cancer radiation therapy Ciências Médicas::Medicina Básica Science & Technology |
| title_short |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| title_full |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| title_fullStr |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| title_full_unstemmed |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| title_sort |
Auto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017 |
| author |
Yang, Jinzhong |
| author_facet |
Yang, Jinzhong Veeraraghavan, Harini Armato, Samuel G. Farahani, Keyvan Kirby, Justin S. Kalpathy-Kramer, Jayashree van Elmpt, Wouter Dekker, Andre Han, Xiao Feng, Xue Aljabar, Paul Oliveira, Bruno van der Heyden, Brent Zamdborg, Leonid Lam, Dao Gooding, Mark Sharp, Gregory C. |
| author_role |
author |
| author2 |
Veeraraghavan, Harini Armato, Samuel G. Farahani, Keyvan Kirby, Justin S. Kalpathy-Kramer, Jayashree van Elmpt, Wouter Dekker, Andre Han, Xiao Feng, Xue Aljabar, Paul Oliveira, Bruno van der Heyden, Brent Zamdborg, Leonid Lam, Dao Gooding, Mark Sharp, Gregory C. |
| author2_role |
author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Yang, Jinzhong Veeraraghavan, Harini Armato, Samuel G. Farahani, Keyvan Kirby, Justin S. Kalpathy-Kramer, Jayashree van Elmpt, Wouter Dekker, Andre Han, Xiao Feng, Xue Aljabar, Paul Oliveira, Bruno van der Heyden, Brent Zamdborg, Leonid Lam, Dao Gooding, Mark Sharp, Gregory C. |
| dc.subject.por.fl_str_mv |
Algorithms Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Thorax Tomography, X-Ray Computed automatic segmentation grand challenge lung cancer radiation therapy Ciências Médicas::Medicina Básica Science & Technology |
| topic |
Algorithms Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Thorax Tomography, X-Ray Computed automatic segmentation grand challenge lung cancer radiation therapy Ciências Médicas::Medicina Básica Science & Technology |
| description |
Accepted manuscript |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018-08 2018-08-01T00:00:00Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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https://hdl.handle.net/1822/58905 |
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https://hdl.handle.net/1822/58905 |
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eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Yang, J., Veeraraghavan, H., Armato III, S. G., Farahani, K., Kirby, J. S., Kalpathy‐Kramer, J., ... & Aljabar, P. (2018). Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Medical physics, 45(10), 4568-4581 0094-2405 2473-4209 10.1002/mp.13141 30144101 https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.13141 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Wiley |
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Wiley |
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