Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: Reflections and lessons learned

被引:52
作者
Armato, Samuel G. [1 ]
Hadjiiski, Lubomir [2 ]
Tourassi, Georgia D. [3 ]
Drukker, Karen [1 ]
Giger, Maryellen L. [1 ]
Li, Feng [1 ]
Redmond, George [4 ]
Farahani, Keyvan [4 ]
Kirby, Justin S. [5 ]
Clarke, Laurence P. [4 ]
机构
[1] University of Chicago, Department of Radiology, MC 2026, 5841 S. Maryland Avenue, Chicago, 60637, IL
[2] University of Michigan, Department of Radiology, 1500 E. Medical Center Drive, Ann Arbor, 48109, MI
[3] Biomedical Science and Engineering Center, Health Data Sciences Institute, Oak Ridge National Laboratory, Oak Ridge, 37831, TN
[4] National Cancer Institute, Division of Cancer Treatment and Diagnosis, Cancer Imaging Program, 9609 Medical Center Drive, Bethesda, 20892, MD
[5] Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc, Cancer Imaging Program, Frederick, 21702, MD
关键词
D O I
10.1117/1.JMI.2.2.020103
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学科分类号
摘要
[No abstract available]
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  • [1] Nishikawa R.M., Et al., Effect of case selection on the performance of computer-aided detection schemes, Med. Phys, 21, pp. 265-269, (1994)
  • [2] Nishikawa R.M., Et al., Variations in measured performance of CAD schemes due to database composition and scoring protocol, Proc SPIE, 3338, pp. 840-844, (1998)
  • [3] Revesz G., Et al., The effect of verification on the assessment of imaging techniques, Invest. Rad, 18, pp. 194-198, (1983)
  • [4] Murphy K., Development and Evaluation of Automated Image Analysis Techniques in Thoracic CT, (2011)
  • [5] Van Ginneken B., Et al., Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study, Med. Image Anal, 14, pp. 707-722, (2010)
  • [6] Rudyanto R.D., Et al., Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: The VESSEL12 study, Med. Image Anal, 18, pp. 1217-1232, (2014)
  • [7] Lo P., Et al., Extraction of airways from CT (EXACT'09), IEEE Trans. Med. Imaging, 31, pp. 2093-2107, (2012)
  • [8] Clark K., Et al., The Cancer Imaging Archive (TCIA): Maintaining and operating a public information repository, J. Digital Imaging, 26, pp. 1045-1057, (2013)
  • [9] Jirapatnakul A.C., Et al., Characterization of pulmonary nodules: Effects of size and feature type on reported performance, Proc. SPIE, 6915, (2008)
  • [10] Armato S.G., Et al., SPIE-AAPM-NCI lung nodule classification challenge dataset, Cancer Imaging Arch., (2015)