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

来源：

Journal of Medical Imaging | 2015年 / 2卷 / 02期

关键词：

D O I：

10.1117/1.JMI.2.2.020103

中图分类号：

学科分类号：

摘要：

[No abstract available]

引用

共 12 条

[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)

← 1 2 →