Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance.

[1]  G. W. Snedecor.  STATISTICAL METHODS , 1967 .

[2]  Li Fan,et al.  Automatic detection of lung nodules from multislice low-dose CT images , 2001, SPIE Medical Imaging.

[3]  M. Giger,et al.  Computerized Detection of Pulmonary Nodules in Computed Tomography Images , 1994, Investigative radiology.

[4]  Martin Fiebich,et al.  Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system , 2002, European Radiology.

[5]  S. Armato,et al.  Computerized detection of pulmonary nodules on CT scans. , 1999, Radiographics : a review publication of the Radiological Society of North America, Inc.

[6]  Kenneth R. Hoffmann,et al.  Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinations , 1999, Medical Imaging.

[7]  Feng Li,et al.  Mass screening for lung cancer with mobile spiral computed tomography scanner , 1998, The Lancet.

[8]  K. Awai,et al.  Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. , 2004, Radiology.

[9]  Margrit Betke,et al.  Chest CT: automated nodule detection and assessment of change over time--preliminary experience. , 2001, Radiology.

[10]  H Rusinek,et al.  Pulmonary nodule detection: low-dose versus conventional CT. , 1998, Radiology.

[11]  Hajime Nakata,et al.  Lung cancer screening using low-dose spiral CT: results of baseline and 1-year follow-up studies. , 2002, Chest.

[12]  N. Breslow,et al.  Algorithm AS 162: Multivariate Conditional Logistic Analysis of Stratum- Matched Case-Control Studies , 1981 .

[13]  Hironobu Ohmatsu,et al.  Screening for lung cancer with low-dose helical computed tomography: anti-lung cancer association project. , 2002, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  H Rusinek,et al.  Variables Affecting Pulmonary Nodule Detection with Computed Tomography: Evaluation with Three‐Dimensional Computer Simulation , 1993, Journal of thoracic imaging.

[15]  Malcolm C. Pike,et al.  Algorithm AS 196: Conditional Multivariate Logistic Analysis of Stratified Case-Control Studies , 1984 .

[16]  W. Heindel,et al.  Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers. , 2002, Radiology.

[17]  P Croisille,et al.  Pulmonary nodules: improved detection with vascular segmentation and extraction with spiral CT. Work in progress. , 1995, Radiology.

[18]  Shinji Yamamoto,et al.  Image processing for computer-aided diagnosis of lung cancer screening system by CT (LSCT) , 1998, Medical Imaging.

[19]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .

[20]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[21]  L. Schwartz,et al.  Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm , 2003, Journal of applied clinical medical physics.

[22]  Noboru Niki,et al.  Computer-aided diagnosis system for lung cancer based on retrospective helical CT image , 2000, Medical Imaging: Image Processing.

[23]  O. Miettinen,et al.  Early Lung Cancer Action Project: overall design and findings from baseline screening , 1999, The Lancet.

[24]  S. Armato,et al.  Automated detection of lung nodules in CT scans: preliminary results. , 2001, Medical physics.

[25]  S. Armato,et al.  Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. , 2002, Radiology.

[26]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[27]  Rajiv Gupta,et al.  Small pulmonary nodules: evaluation with repeat CT--preliminary experience. , 1999, Radiology.

[28]  H. Ohmatsu,et al.  Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. , 1996, Radiology.

[29]  S. Sone,et al.  Characteristics of small lung cancers invisible on conventional chest radiography and detected by population based screening using spiral CT. , 2000, The British journal of radiology.

[30]  Hiroshi Fujita,et al.  Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique , 2001, IEEE Transactions on Medical Imaging.