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Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT.

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Prediction of tumor volumes using an exponential model., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 6514 из SPIE Proceedings, стр. 65143A. SPIE, (2007)Effect of observer variability and training cases on U-Net segmentation performance., , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11316 из SPIE Proceedings, стр. 113160T. SPIE, (2020)Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Vessel Diameter Tracking in Intravital Microscopy Image Sequences., , , , и . ISBI, стр. 360-363. IEEE, (2007)A comparison of ground truth estimation methods., , и . Int. J. Comput. Assist. Radiol. Surg., 5 (3): 295-305 (2010)Semi-Automated Measurement of Pulmonary Nodule Growth without Explicit Segmentation., , , , и . ISBI, стр. 855-858. IEEE, (2009)Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Improved precision of repeat image change measurement of pulmonary nodules using moment-based z-compensation on a zero-change dataset., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 7260 из SPIE Proceedings, стр. 72601P. SPIE, (2009)Characterization of pulmonary nodules: effects of size and feature type on reported performance., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 6915 из SPIE Proceedings, стр. 69151E. SPIE, (2008)An analysis of two ground truth estimation methods., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 7260 из SPIE Proceedings, стр. 72600E. SPIE, (2009)