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The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies.

, , , , , , , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 651429. SPIE, (2007)

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The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics., , , , , , , , , and 6 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65140J. SPIE, (2007)Pulmonary CT Image Analysis and Computer Aided Detection., , , , , , , , and . ISBI, page 500-503. IEEE, (2007)The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation., , , , , , , , , and 11 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65140K. SPIE, (2007)Nonlinear multiscale regularisation in MR elastography: Towards fine feature mapping., , , , , , , , and . Medical Image Anal., (2017)The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies., , , , , , , , , and 5 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 651429. SPIE, (2007)Pharmacokinetic modelling for the simultaneous assessment of perfusion and 18F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: Proof of concept., , , , , , , , and . NeuroImage, (2021)Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth?, , , and . CVII-STENT/LABELS@MICCAI, volume 10552 of Lecture Notes in Computer Science, page 96-105. Springer, (2017)Computer-aided diagnosis of radiographic patterns of lung disease via MDCT images., , , , and . Int. J. Comput. Sci. Eng., 5 (3/4): 254-261 (2010)