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Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions.

, , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76242Y. SPIE, (2010)

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Predictive Data Mining for Lung Nodule Interpretation., , , and . ICDM Workshops, page 157-162. IEEE Computer Society, (2007)Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions., , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76242Y. SPIE, (2010)Evaluation Challenges for Bridging Semantic Gap: Shape Disagreements on Pulmonary Nodules in the Lung Image Database Consortium., , and . Int. J. Heal. Inf. Syst. Informatics, 4 (1): 17-33 (2009)Characterizing pulmonary nodule shape using a boundary-region approach., , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72602Y. SPIE, (2009)