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Medical Image Analysis
Volume 14, Issue 3
, Pages 390-406
, June 2010
A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
References
- . R.A. Fisher and multivariate analysis. Statistical Science. 1996;11(1):20–34
- . Computerized detection of pulmonary nodules on CT scans. RadioGraphics. 1999;19(5):1303–1311
- . Automated detection of lung nodules in CT scans: preliminary results. Medical Physics. 2001;28:1552–1561
- Lung image database consortium: developing a resource for the medical imaging research community. Radiology. 2004;232(3):739
- The lung image database consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans. Academic Radiology. 2007;14(11):1409–1421
- . Method for segmenting chest CT image data using an anatomical model: preliminary results. IEEE Transactions on Medical Imaging. 1997;16(6):828–839
- . Clinical evaluation of a computer-aided diagnosis (CAD) prototype for the detection of pulmonary embolism. Academic Radiology. 2007;14(6):651–658
- “Cancer Facts and Figs. 2009,” The American Cancer Society, 2009.
- . Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance. Radiology. 2006;241(2):564
- . Pattern Classification. second ed.. Wiley Interscience; 2000;
- Ernst, R., Hardie, R., Gurcan, M., Oto, A., Rogers, S., Hoffmeister, J., 2004. Cad performance analysis for pulmonary nodule detection: comparison of thick- and thin-slice helical CT. Radiology Society of North America (RSNA).
- . The use of multiple measurements in taxonomic problems. Annals of Eugenics. 1936;7:179–188
- . Introduction to Statistical Pattern Recognition. Academic Press, Inc.; 1990;
- . Digital Image Processing. Prentice Hall; 2007;
- Gori, I., Fantacci, M., Preite Martinez, A., Retico, A., 2007. An automated system for lung nodule detection in low-dose computed tomography. In: Giger, Maryellen, L., Karssemeijer, Nico (Eds.), Proceedings of the SPIE on Medical Imaging 2007: Computer-Aided Diagnosis, vol. 6514, p. 65143R.
- . Automated detection of lung nodules in multidetector CT: influence of different reconstruction protocols on performance of a software prototype. Rofo. 2006;178(1):71–77
- . Classification of malignant and benign masses based on hybrid ART2LDA approach. IEEE Transactions on Medical Imaging. 1999;18(12):1178–1187
- . Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs. Medical Image Analysis. 2008;12(3):240–258
- . Early lung cancer action project: overall design and findings from baseline screening. Lancet. 1999;354:99–105
- . Assessment of the pulmonary structure–function relationship and clinical outcomes measures: quantitative volumetric ct of the lung. Academic Radiology. 1997;4(11):758–776
- Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Transactions on Medical Imaging. 2001;20(6):490–498
- . Computer-aided diagnosis for pulmonary nodules based on helical CT images. Computerized Medical Imaging and Graphics. 1998;22(2):157–167
- . Automated lung segmentation in X-ray computed tomography development and evaluation of a heuristic threshold-based scheme 1. Academic Radiology. 2003;10(11):1224–1236
- . Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique. IEEE Transactions on Medical Imaging. 2001;20(7):595–604
- . PCA versus LDA. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001;23(2):228–233
- Maxion, R., Roberts, R., 2004. Proper Use of ROC Curves in Intrusion/Anomaly Detection. University of Newcastle upon Tyne, School of Computing Science, UK. Technical Report Series: CS-TR-871, November 2004.
- . Discriminant Analysis and Statistical Pattern Recognition. Wiley Interscience; 2004;
- The lung image database consortium (LIDC) data collection process for nodule detection and annotation. Academic Radiology. 2007;14(12):1464–1474
- . Automated detection of polyps with CT colonography: evaluation of volumetric features for reduction of false-positive findings. Academic Radiology. 2002;9(4):386–397
- . Variable N-Quoit filter applied for automatic detection of lung cancer by X-ray CT. Computer Assisted Radiology and Surgery (CAR98). 1998;242–247
- Opfer, R., Wiemker, R., 2007. Performance analysis for computer-aided lung nodule detection on LIDC data. In: Jiang, Yulei, Sahiner, Berkman (Eds.), Proceedings of the SPIE – Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment, vol. 6515, p. 65151C.
- . Probability, Random Variables, and Stochastic Processes. New York: McGraw-Hill; 2002;
- The lung image database consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. Academic Radiology. 2007;14(12):1475–1485
- . Paradigm for shape-based image analysis. Optical Engineering. 1998;37:570
- . Linearly independent, orthogonal, and uncorrelated variables. The American Statistician. 1984;38(2):133–134
- Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. Radiology. 2005;234(1):274
- Effect of CAD on radiologists’ detection of lung nodules on thoracic CT scans: observer performance study. Proceedings of SPIE. 2007;6515:65151D
- . Multi-scale nodule detection in chest radiographs. In: Ellis R, Peters T editor. Medical Image Computing and Computer-Assisted Intervention. Lecture Notes in Computer Science Series. vol. 2878:Springer; 2003;p. 602–609
- . A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database. Medical Image Analysis. 2006;10(2):247–258
- . Image Analysis and Mathematical Morphology. Orlando, FL, USA: Academic Press, Inc.; 1983;
- . Computer-aided diagnostic scheme for detection of lung nodules on chest radiographs: localized search method based on anatomical classification. Medical Physics. 2006;33(7):2642–2653
- . Growth of radiologically determined heart diameter, lung width, and lung length from 5–19 years, with standards for clinical use. Archives of Disease in Childhood. 1972;47(253):373
- . Knowledge-based segmentation of intrathoracic airways from multidimensional high-resolution CT images. Proceedings of SPIE. 1994;2168:73–85
- . Image-Processing Techniques for Tumor Detection. CRC Press; 2002;
- . Automatic segmentation of pulmonary nodules on CT images by use of NCI lung image database consortium. Progress in Biomedical Optics and Imaging. 2006;7(30):
- van Ginneken, B., Armato III, S., de Hoop, B., van de Vorst, S., Duindam, T., Niemeijer, M., Murphy, K., Schilham, A., Retico, A., Fantacci, M., et al., 2009. Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study. Imaging Sciences Institute, University Medical Center Utrecht, The Netherlands, Technical Report. <http://anode09.isi.uu.nl/>.
- . Segmentation of pulmonary nodules in three-dimensional CT images by use of a spiral-scanning technique. Medical Physics. 2007;34(12):4678–4689
- . Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3 D active contours. Medical Physics. 2006;33(7):2323–2337
- . A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Transactions on Medical Imaging. 2005;24(3):371–380
- . Comparative performance analysis for computer aided lung nodule detection and segmentation on ultra-low-dose vs. standard-dose CT. Proceedings of SPIE. 2006;6146:614605
- . Computer-aided detection in screening CT for pulmonary nodules. American Journal of Roentgenology. 2006;186(5):1280–1287
PII: S1361-8415(10)00019-8
doi: 10.1016/j.media.2010.02.004
© 2010 Elsevier B.V. All rights reserved.
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Medical Image Analysis
Volume 14, Issue 3
, Pages 390-406
, June 2010
