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...

Descrición completa

Gardado en:
Detalles Bibliográficos
Publicado en: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: 2016
Assuntos:
Article
Acceso en liña: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
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares