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Characterization of solid pulmonary nodules using three-dimensional features.

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65143E. SPIE, (2007)

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Prediction of tumor volumes using an exponential model., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65143A. SPIE, (2007)Effect of observer variability and training cases on U-Net segmentation performance., , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160T. SPIE, (2020)Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)A comparison of ground truth estimation methods., , and . Int. J. Comput. Assist. Radiol. Surg., 5 (3): 295-305 (2010)Vessel Diameter Tracking in Intravital Microscopy Image Sequences., , , , and . ISBI, page 360-363. IEEE, (2007)Semi-Automated Measurement of Pulmonary Nodule Growth without Explicit Segmentation., , , , and . ISBI, page 855-858. IEEE, (2009)Improved precision of repeat image change measurement of pulmonary nodules using moment-based z-compensation on a zero-change dataset., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72601P. SPIE, (2009)Characterization of pulmonary nodules: effects of size and feature type on reported performance., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6915 of SPIE Proceedings, page 69151E. SPIE, (2008)An analysis of two ground truth estimation methods., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72600E. SPIE, (2009)Automated pulmonary nodule CT image characterization in lung cancer screening., , and . Int. J. Comput. Assist. Radiol. Surg., 11 (1): 73-88 (2016)