Computer-Aided Detection of Lung Cancer
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-2945-5_2
Reference96 articles.
1. Aoyama M, Li Q, Katsuragawa S, MacMahon H, Doi K (2002) Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodules on chest images. Med Phys 29:701–708
2. Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, Doi K (2004) Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. Acad Radiol 11:617–629
3. Armato SG 3rd, Giger ML, Moran CJ, Blackburn JT, Doi K, MacMahon H (1999) Computerized detection of pulmonary nodules on CT scans. Radiographics 19:1303–1311
4. Armato SG 3rd, Giger ML, MacMahon H (2001) Automated detection of lung nodules in CT scans: preliminary results. Med Phys, 28:1552–1561
5. Armato SG 3rd, Mclennan G, Mcnitt-Gray MF, Meyer CR, Yankelevitz D, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, Reeves AP, Croft BY, Clarke LP (2004) Lung image database consortium: developing a resource for the medical imaging research community. Radiology 232:739–748
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