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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Dades bibliogràfiques
Publicat a:Acad Radiol
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: 2016
Matèries:
Article
Accés en línia: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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