Lung cancer, one of the most common cancer-related deaths, accounts for 1.1 million deaths annually worldwide. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.įunding: This was supported by the Natural Science Fund of China (Serial Number: 81172772) the Natural Science Fund of Beijing (Serial Number: 4112015) and the Program of Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality (Serial Number: PHR201007112). Received: NovemAccepted: ApPublished: May 15, 2013Ĭopyright: © 2013 Sun et al. PLoS ONE 8(5):Įditor: Michael Gormley, Thomas Jefferson University, United States of America
Citation: Sun T, Zhang R, Wang J, Li X, Guo X (2013) Computer-Aided Diagnosis for Early-Stage Lung Cancer Based on Longitudinal and Balanced Data.
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