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City Santos / Gaithersburg / Chan / Boulder / / Country United States / / Facility National Institute of Standards and Technology / Indiana University / University of Colorado-Denver / / IndustryTerm volumetric software / image processing / detection algorithm / / MedicalCondition tumor / synthetic spherical tumors / phantom tumor / synthetic lung tumor / tumors / lung tumors / phantom tumors / Standardized lung tumor / artificial tumors / same tumor / spherical synthetic tumor / clinical tumors / synthetic tumors / clinical lung tumor / each tumor / embedded tumors / centrally located tumor / phantom lung tumors / pulmonary nodules / particular tumor / clinical tumor / available synthetic tumor / lung tumor / / Organization Army Research Office / Cancer Research and Prevention Foundation / National Institute of Standards and Technology / Indiana University / Bloomington / University of Colorado-Denver / National Science Foundation / U.S. Government / FDA / USA Department of Statistics and Physics / / Person David Gilsinn / Alden Dima / Walter / Javier Bernal / Pixel / Adele P. Peskin / Karen Kafadar / Avila / / Position representative / D.J. / Corresponding author / / ProgrammingLanguage R / / ProvinceOrState Maryland / Indiana / A. B. / Colorado / / PublishedMedium the Cancer Research / / Technology tomography / image processing / detection algorithm / Medical Imaging / / URL www.via.cornell.edu/crpf.html / www.r-project.org / / SocialTag 
Synthetic Lung Tumor Data Sets for Comparison of Volumetric Algorithms1 Adele P. Peskin,(a)(d) Karen Kafadar, (b) Alden Dima,(c) Javier Bernal,(c) and David Gilsinn(c) (a) (b)