An Automated Screening System for Tuberculosis
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[1] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[2] Wilhelm Burger,et al. Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.
[3] J-P Van Vooren,et al. Screening for tuberculosis. , 2013, Revue medicale de Bruxelles.
[4] C. Campbell,et al. Automated identification of tubercle bacilli in sputum. A preliminary investigation. , 1999, Analytical and quantitative cytology and histology.
[5] Alexander J. Smola,et al. Learning with kernels , 1998 .
[6] Fernando Pérez-Cruz,et al. On the uncertainty in sequential hypothesis testing , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[7] T S Douglas,et al. Automated detection of tuberculosis in Ziehl‐Neelsen‐stained sputum smears using two one‐class classifiers , 2010, Journal of microscopy.
[8] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[9] Luc Van Gool,et al. Moment invariants for recognition under changing viewpoint and illumination , 2004, Comput. Vis. Image Underst..
[10] M Desco,et al. Automatic identification of Mycobacterium tuberculosis by Gaussian mixture models , 2006, Journal of microscopy.
[11] Albert Nienhaus,et al. Comparative performance of tuberculin skin test, QuantiFERON-TB-Gold In Tube assay, and T-Spot.TB test in contact investigations for tuberculosis. , 2009, Chest.
[12] J. Berger. Statistical Decision Theory and Bayesian Analysis , 1988 .
[13] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[14] Soo-Chang Pei,et al. Image normalization for pattern recognition , 1995, Image Vis. Comput..
[15] Karen Steingart,et al. New and improved tuberculosis diagnostics: evidence, policy, practice, and impact , 2010, Current opinion in pulmonary medicine.
[16] Stephen E. Fienberg,et al. Testing Statistical Hypotheses , 2005 .
[17] Jon C. Aster,et al. Robbins BASIC PATHOLOGY , 2002, Robbins Basic Pathology.
[18] Eduardo Gotuzzo,et al. Rapid molecular detection of tuberculosis and rifampin resistance. , 2010, The New England journal of medicine.
[19] Jitendra Malik,et al. Automated Tuberculosis Diagnosis Using Fluorescence Images from a Mobile Microscope , 2012 .
[20] Alimuddin Zumla,et al. Biomarkers and diagnostics for tuberculosis: progress, needs, and translation into practice , 2010, The Lancet.
[21] M. Perkins,et al. Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review. , 2006, The Lancet. Infectious diseases.
[22] Madhukar Pai,et al. Novel and improved technologies for tuberculosis diagnosis: progress and challenges. , 2009, Clinics in chest medicine.
[23] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[24] Tania S. Douglas,et al. Classification of Mycobacterium tuberculosis in Images of ZN-Stained Sputum Smears , 2010, IEEE Transactions on Information Technology in Biomedicine.
[25] S. Sathiya Keerthi,et al. Building Support Vector Machines with Reduced Classifier Complexity , 2006, J. Mach. Learn. Res..
[26] F. Portaels,et al. Evaluation of a rapid culture method for tuberculosis diagnosis: a Latin American multi-center study. , 2006, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.
[27] Madhukar Pai,et al. Interferon-gamma release assays for tuberculosis screening of healthcare workers: a systematic review , 2011, Thorax.
[28] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.