LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned

J Med Imaging (Bellingham). 2015 Apr;2(2):020103. doi: 10.1117/1.JMI.2.2.020103.

¹ University of Chicago , Department of Radiology , MC 2026 , 5841 S. Maryland Avenue , Chicago, Illinois 60637, United States.
² University of Michigan , Department of Radiology , 1500 E. Medical Center Drive , Ann Arbor, Michigan 48109, United States.
³ Biomedical Science and Engineering Center , Health Data Sciences Institute , Oak Ridge National Laboratory , Oak Ridge, Tennessee 37831, United States.
⁴ National Cancer Institute , Division of Cancer Treatment and Diagnosis , Cancer Imaging Program , 9609 Medical Center Drive , Bethesda, Maryland 20892, United States.
⁵ Frederick National Laboratory for Cancer Research , Leidos Biomedical Research, Inc. , Cancer Imaging Program , Frederick, Maryland 21702, United States.

No abstract available

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