Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/58905

TitleAuto-segmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017
Author(s)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.
KeywordsAlgorithms
Humans
Organs at Risk
Radiotherapy Planning, Computer-Assisted
Radiotherapy, Image-Guided
Thorax
Tomography, X-Ray Computed
automatic segmentation
grand challenge
lung cancer
radiation therapy
Issue dateAug-2018
PublisherWiley
JournalMedical Physics
CitationYang, 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
Abstract(s)This 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.
TypeArticle
DescriptionAccepted manuscript
URIhttp://hdl.handle.net/1822/58905
DOI10.1002/mp.13141
ISSN0094-2405
e-ISSN2473-4209
Publisher versionhttps://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.13141
Peer-Reviewedyes
AccessEmbargoed access (2 Years)
Appears in Collections:ICVS - Artigos em Revistas Internacionais com Referee

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