Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

PURPOSE: 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 autoseg...

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Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Med Phys
Κύριοι συγγραφείς: 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.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: John Wiley and Sons Inc. 2018
Θέματα:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6714977/
https://ncbi.nlm.nih.gov/pubmed/30144101
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13141
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