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Pulmonary CT Image Analysis and Computer Aided Detection.

, , , , , , , , и . ISBI, стр. 500-503. IEEE, (2007)

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Abraham ˜van deœ Beek

Gregor ˜van derœ Beek

Gregor ˜van derœ Beek

R J Backlund

R. J. McLure

 

Другие публикации лиц с тем же именем

The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies., , , , , , , , , и 5 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 6514 из SPIE Proceedings, стр. 651429. SPIE, (2007)The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics., , , , , , , , , и 6 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 6514 из SPIE Proceedings, стр. 65140J. SPIE, (2007)Pulmonary CT Image Analysis and Computer Aided Detection., , , , , , , , и . ISBI, стр. 500-503. IEEE, (2007)The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation., , , , , , , , , и 11 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 6514 из SPIE Proceedings, стр. 65140K. SPIE, (2007)Computer-aided diagnosis of radiographic patterns of lung disease via MDCT images., , , , и . Int. J. Comput. Sci. Eng., 5 (3/4): 254-261 (2010)Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth?, , , и . CVII-STENT/LABELS@MICCAI, том 10552 из Lecture Notes in Computer Science, стр. 96-105. Springer, (2017)