A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
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[1] H. Yoshida,et al. Automated detection of polyps with CT colonography: evaluation of volumetric features for reduction of false-positive findings. , 2002, Academic radiology.
[2] P. Cooperberg,et al. Computer-aided detection in screening CT for pulmonary nodules. , 2006, AJR. American journal of roentgenology.
[3] Maximilian Reiser,et al. Clinical evaluation of a computer-aided diagnosis (CAD) prototype for the detection of pulmonary embolism. , 2007, Academic radiology.
[4] 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.
[5] Robin N. Strickland. Image-Processing Techniques for Tumor Detection , 2007 .
[6] Anthony J. Sherbondy,et al. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. , 2005, Radiology.
[7] Thomas Bülow,et al. Comparative performance analysis for computer aided lung nodule detection and segmentation on ultra-low-dose vs. standard-dose CT , 2006, SPIE Medical Imaging.
[8] O. Miettinen,et al. Early Lung Cancer Action Project: overall design and findings from baseline screening , 1999, The Lancet.
[9] K. Doi,et al. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification. , 2006, Medical physics.
[10] Zaid J. Towfic,et al. The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation , 2007, SPIE Medical Imaging.
[11] Russell C. Hardie,et al. Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs , 2008, Medical Image Anal..
[12] J M Tanner,et al. Growth of Radiologically Determined Heart Diameter, Lung Width, and Lung Length from 5-19 Years, with Standards for Clinical Use , 1972, Archives of disease in childhood.
[13] E. Hoffman,et al. Lung image database consortium: developing a resource for the medical imaging research community. , 2004, Radiology.
[14] Ilaria Gori,et al. An automated system for lung nodule detection in low-dose computed tomography , 2007, SPIE Medical Imaging.
[15] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[16] T. W. Anderson. R. A. Fisher and multivariate analysis , 1996 .
[17] 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.
[18] Bram van Ginneken,et al. A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database , 2006, Medical Image Anal..
[19] R. A. Maxion,et al. Proper Use of ROC Curves in Intrusion/Anomaly Detection , 2004 .
[20] G. McLachlan. Discriminant Analysis and Statistical Pattern Recognition , 1992 .
[21] William E. Higgins,et al. Paradigm for shape-based image analysis , 1998 .
[22] Bram van Ginneken,et al. Multi-scale Nodule Detection in Chest Radiographs , 2003, MICCAI.
[23] R. Engelmann,et al. Segmentation of pulmonary nodules in three-dimensional CT images by use of a spiral-scanning technique. , 2007, Medical physics.
[24] Milan Sonka,et al. Knowledge-based segmentation of intrathoracic airways from multidimensional high-resolution CT images , 1994, Medical Imaging.
[25] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[26] E. Hoffman,et al. Assessment of the pulmonary structure-function relationship and clinical outcomes measures: quantitative volumetric CT of the lung. , 1997, Academic radiology.
[27] Robert M. Nishikawa,et al. A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications , 2005, IEEE Transactions on Medical Imaging.
[28] Lubomir M. Hadjiiski,et al. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours. , 2006, Medical physics.
[29] Berkman Sahiner,et al. Classification of malignant and benign masses based on hybrid ART2LDA approach , 1999, IEEE Transactions on Medical Imaging.
[30] Berkman Sahiner,et al. Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: observer performance study , 2007, SPIE Medical Imaging.
[31] 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.
[32] A. Wetter,et al. Automated detection of lung nodules in multidetector CT: influence of different reconstruction protocols on performance of a software prototype. , 2006, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.
[33] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[34] Marco Das,et al. Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance. , 2006, Radiology.
[35] S. Armato,et al. Automated detection of lung nodules in CT scans: preliminary results. , 2001, Medical physics.
[36] Ilaria Gori,et al. Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study , 2010, Medical Image Anal..
[37] Y. Kawata,et al. Computer-aided diagnosis for pulmonary nodules based on helical CT images , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[38] E. V. van Beek,et al. The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. , 2007, Academic radiology.
[39] Rafael Wiemker,et al. Performance analysis for computer-aided lung nodule detection on LIDC data , 2007, SPIE Medical Imaging.
[40] David G. Stork,et al. Pattern Classification , 1973 .
[41] Avinash C. Kak,et al. PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Jean Serra,et al. Image Analysis and Mathematical Morphology , 1983 .
[43] Eric A. Hoffman,et al. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images , 2001, IEEE Transactions on Medical Imaging.
[44] Michael F. McNitt-Gray,et al. Method for segmenting chest CT image data using an anatomical model: preliminary results , 1997, IEEE Transactions on Medical Imaging.
[45] David Gur,et al. Automated lung segmentation in X-ray computed tomography: development and evaluation of a heuristic threshold-based scheme. , 2003, Academic radiology.
[46] J. Rodgers,et al. Linearly Independent, Orthogonal, and Uncorrelated Variables , 1984 .
[47] Shoji Kido,et al. Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium , 2006, SPIE Medical Imaging.