3D shape analysis to reduce false positives for lung nodule detection systems
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Anselmo Cardoso de Paiva | Marcelo Gattass | Aristófanes Corrêa Silva | Rodolfo Acatauassu Nunes | Antonio Oseas de Carvalho Filho | Antônio Oséas de Carvalho Filho | A. Silva | A. Paiva | M. Gattass | R. Nunes
[1] B. B. Samir,et al. Computer aided diagnosis system based on machine learning techniques for lung cancer , 2012, 2012 International Conference on Computer & Information Science (ICCIS).
[2] Edith M Marom,et al. Lung cancer imaging. , 2014, Seminars in diagnostic pathology.
[3] Antoni B. Chan,et al. On measuring the change in size of pulmonary nodules , 2006, IEEE Transactions on Medical Imaging.
[4] D. Ost,et al. Solitary Pulmonary Nodule , 2005 .
[5] E. Davis,et al. The solitary pulmonary nodule. , 1964, The Medical annals of the District of Columbia.
[6] Margrit Betke,et al. Small pulmonary nodules: volume measurement at chest CT--phantom study. , 2003, Radiology.
[7] Aydin Akan,et al. Classification of Pulmonary Nodules by Using Hybrid Features , 2013, Comput. Math. Methods Medicine.
[8] Wilhelm Burger,et al. Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.
[9] Hiram Madero Orozco,et al. Lung nodule classification in frequency domain using support vector machines , 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).
[10] Ahmed A. Soliman,et al. Estimation of the coefficient of variation for non-normal model using progressive first-failure-censoring data , 2012 .
[11] Marcelo Gattass,et al. Automatic segmentation of lung nodules with growing neural gas and support vector machine , 2012, Comput. Biol. Medicine.
[12] Yong Lin,et al. NF-kappaB in lung cancer, a carcinogenesis mediator and a prevention and therapy target. , 2011, Frontiers in bioscience.
[13] A. Atiya,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[14] Dazhe Zhao,et al. Computer aided detection of lung nodules based on voxel analysis utilizing support vector machines , 2009, 2009 International Conference on Future BioMedical Information Engineering (FBIE).
[15] Sheeraz Akram,et al. Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques , 2015, J. Exp. Theor. Artif. Intell..
[16] C. Moran,et al. Lung carcinoma: Beyond the WHO classification. , 2014, Seminars in diagnostic pathology.
[17] Heinz-Otto Peitgen,et al. Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans , 2006, IEEE Transactions on Medical Imaging.
[18] G. Herman,et al. 3D Imaging In Medicine , 1991 .
[19] Jean-Charles Pinoli,et al. Shape diagrams for 2D compact sets - Part I: analytic convex sets. Australian Journal of , 2010 .
[20] D K Owens,et al. Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: a meta-analysis. , 2001, JAMA.
[21] Kyle J Myers,et al. Noncalcified lung nodules: volumetric assessment with thoracic CT. , 2009, Radiology.
[22] Aly A. Farag,et al. Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[23] Abbas Z. Kouzani,et al. Random forest based lung nodule classification aided by clustering , 2010, Comput. Medical Imaging Graph..
[24] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[25] Feng Li,et al. Mass screening for lung cancer with mobile spiral computed tomography scanner , 1998, The Lancet.
[26] Jamshid Dehmeshki,et al. Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images , 2009, IEEE Transactions on Biomedical Engineering.
[27] P. Pattynama,et al. Receiver operating characteristic (ROC) analysis: basic principles and applications in radiology. , 1998, European journal of radiology.
[28] Richard C. Pais,et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. , 2011, Medical physics.
[29] Ignacio I Wistuba,et al. Current concepts on the molecular pathology of non-small cell lung carcinoma. , 2014, Seminars in diagnostic pathology.
[30] Yun Zhou,et al. Context Curves for Classification of Lung Nodule Images , 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
[31] Jacob D. Furst,et al. Probabilistic lung nodule classification with belief decision trees , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[32] N. Müller,et al. Fleischner Society: glossary of terms for thoracic imaging. , 2008, Radiology.
[33] Anselmo Cardoso de Paiva,et al. Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index , 2014, Artif. Intell. Medicine.
[34] Jean-Charles Pinoli,et al. Shape diagrams for 2D compact sets - Part II: analytic simply connected sets. , 2010 .
[35] C. Chandrasekar,et al. Lung Nodule Detection Using Fuzzy Clustering and Support Vector Machines , 2013 .