The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation
- 1 December 2007
- journal article
- research article
- Published by Elsevier in Academic Radiology
- Vol. 14 (12) , 1464-1474
- https://doi.org/10.1016/j.acra.2007.07.021
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Lung Cancer: Computerized Quantification of Tumor Response—Initial ResultsRadiology, 2006
- Survival of Patients with Stage I Lung Cancer Detected on CT ScreeningNew England Journal of Medicine, 2006
- Pulmonary nodule characterization: A comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement mapsEuropean Journal of Radiology, 2006
- Computer Aided Characterization of the Solitary Pulmonary Nodule Using Volumetric and Contrast Enhancement Features1Academic Radiology, 2005
- CT Screening for Lung Cancer: Five-year Prospective ExperienceRadiology, 2005
- Lung Image Database Consortium: Developing a Resource for the Medical Imaging Research CommunityRadiology, 2004
- Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomographyAcademic Radiology, 2004
- National Cancer Institute Initiative: Lung Image Database Resource for Imaging ResearchAcademic Radiology, 2001
- Lung Nodule Enhancement at CT: Multicenter StudyRadiology, 2000
- Variations in measured performance of CAD schemes due to database composition and scoring protocolPublished by SPIE-Intl Soc Optical Eng ,1998