Algorithm Variability in the Estimation of Lung Nodule Volume From Phantom CT Scans: Results of the QIBA 3A Public Challenge

RATIONALE AND OBJECTIVES: Quantifying changes in lung tumor volume is important for diagnosis, therapy planning, and evaluation of response to therapy. The aim of this study was to assess the performance of multiple algorithms on a reference data set. The study was organized by the Quantitative Imag...

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Detalhes bibliográficos
Publicado no:Acad Radiol
Main Authors: Athelogou, Maria, Kim, Hyun J., Dima, Alden, Obuchowski, Nancy, Peskin, Adele, Gavrielides, Marios A., Petrick, Nicholas, Saiprasad, Ganesh, Colditz, Dirk Colditz, Beaumont, Hubert, Oubel, Estanislao, Tan, Yongqiang, Zhao, Binsheng, Kuhnigk, Jan-Martin, Moltz, Jan Hendrik, Orieux, Guillaume, Gillies, Robert J., Gu, Yuhua, Mantri, Ninad, Goldmacher, Gregory, Zhang, Luduan, Vega, Emilio, Bloom, Michael, Jarecha, Rudresh, Soza, Grzegorz, Tietjen, Christian, Takeguchi, Tomoyuki, Yamagata, Hitoshi, Peterson, Sam, Masoud, Osama, Buckler, Andrew J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6237094/
https://ncbi.nlm.nih.gov/pubmed/27215408
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2016.02.018
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