Correlation between Biopsy Confirmed Cases and Radiologist’s Annotations in the Detection of Lung Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval-Reference-Cited by-同舟云学术

Correlation between Biopsy Confirmed Cases and Radiologist’s Annotations in the Detection of Lung Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval

Published:2013 Issue: Volume: Page:531-538
ISSN:0302-9743
Container-title:Computer Analysis of Images and Patterns
language:
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Author:

Aggarwal Preeti,Sardana H. K.,Vig Renu

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-40261-6_64

Reference14 articles.

1. Wormanns, D., Fiebich, M., Saidi, M., Diederich, S., Heindel, W.: Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system. European Radiology 12, 1052–1057 (2002)

2. Blum, A., Mitchell, T.: Combining Labelled and Unlabelled Data with Co-Training. In: Proceedings of the 11th Annual Conference on Computational Learning Theory, COLT 1998, pp. 92–100 (1998)

3. McNitt-Gray, M.F., Armato, S.G., Meyer, C.R., Reeves, A.P., McLennan, G., Pais, R.C., et al.: The lung image database consortium (LIDC) data collection process for nodule detection and annotation. Academic Radiology 14(12), 1464–1474 (2007)

4. Armato III, S.G., McLennan, G., Bidaut, L., McNitt-Gray, M.F., Meyer, C.R., Reeves, A.P., Zhao, B., Aberle, D.R., Henschke, C.I., Hoffman, E.A., Kazerooni, E.A., MacMahon, H., van Beek, E.J.R., Yankelevitz, D., et al.: The Lung Image Database Consortium (LIDC) and Image Database Resources Initiative (IDRI): A completed reference database of lung nodules on CT scans. Medical Physics 38, 915–931 (2011)

5. Horsthemke, W.H., Raicu, D.S., Furst, J.D., Armato III, S.G.: Evaluation Challenges for Computer-Aided Diagnostic Characterization: Shape Disagreements in the Lung Image Database Consortium Pulmonary Nodule Dataset. In: Tan, J. (ed.) New Technologies for Advancing Healthcare and Clinical Practices, pp. 18–43. IGI Global, Hershey PA (2011)

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