Mapping LIDC, RadLex™, and Lung Nodule Image Features
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Jacob D. Furst | Daniela Stan Raicu | David S. Channin | Pia Opulencia | J. Furst | D. Raicu | D. Channin | Pia Opulencia
[1] Geoffrey McLennan,et al. The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics , 2007, SPIE Medical Imaging.
[2] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[3] J. V. van Engelshoven,et al. Detection of lung cancer on the chest radiograph: impact of previous films, clinical information, double reading, and dual reading. , 2001, Journal of clinical epidemiology.
[4] Paavo Ritala,et al. Coopetitive networks in the ICT sector , 2008 .
[5] C. Langlotz. RadLex: a new method for indexing online educational materials. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.
[6] C. McKay,et al. Objectivity and accuracy of mammogram interpretation using the BI-RADS final assessment categories in 40- to 49-year-old women , 2000, The Journal of the American Osteopathic Association.
[7] Sameer Antani,et al. Exploring access to scientific literature using content-based image retrieval , 2007, SPIE Medical Imaging.
[8] Geoffrey McLennan,et al. The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans. , 2007, Academic radiology.
[9] Bram van Ginneken,et al. Computer analysis of computed tomography scans of the lung: a survey , 2006, IEEE Transactions on Medical Imaging.
[10] Thomas Schulz,et al. Indexing Thoracic CT Reports Using a Preliminary Version of a Standardized Radiological Lexicon (RadLex) , 2008, Journal of Digital Imaging.
[11] Daniel L. Rubin,et al. The caBIG™ Annotation and Image Markup Project , 2009, Journal of Digital Imaging.
[12] Michael F. McNitt-Gray,et al. Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance , 2007, SPIE Medical Imaging.
[13] M. Eberl,et al. BI-RADS classification for management of abnormal mammograms. , 2006, Journal of the American Board of Family Medicine : JABFM.
[14] Jacob D. Furst,et al. Modelling semantics from image data: opportunities from LIDC , 2010 .
[15] Jacob D. Furst,et al. Predictive Data Mining for Lung Nodule Interpretation , 2007 .
[16] S S Sagel,et al. CT of the pulmonary nodule: a cooperative study. , 1986, Radiology.
[17] Susan A. Caldwell,et al. The completeness of existing lexicons for representing radiology report information. , 2002, Journal of digital imaging.
[18] Geoffrey McLennan,et al. Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth". , 2009, Academic radiology.
[19] Richard C. Pais,et al. Evaluation of Lung MDCT Nodule Annotation Across Radiologists and Methods 1 , 2006 .
[20] D. Vanel. The American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS): a step towards a universal radiological language? , 2007, European journal of radiology.
[21] Curtis P Langlotz,et al. A framework for improving radiology reporting. , 2005, Journal of the American College of Radiology : JACR.
[22] E. Hoffman,et al. Lung image database consortium: developing a resource for the medical imaging research community. , 2004, Radiology.
[23] Harold L. Kundel,et al. How to minimize perceptual error and maximize expertise in medical imaging , 2007, SPIE Medical Imaging.
[24] Zaid J. Towfic,et al. The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation , 2007, SPIE Medical Imaging.