Automated classification of maxillofacial cysts in cone beam CT images using contourlet transformation and Spherical Harmonics
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Yoshinobu Sato | Yoshito Otake | Reza Aghaeizadeh Zoroofi | Fatemeh Abdolali | R. Zoroofi | Y. Otake | Yoshinobu Sato | F. Abdolali
[1] G. Landini. Quantitative analysis of the epithelial lining architecture in radicular cysts and odontogenic keratocysts , 2006, Head & face medicine.
[2] Reyes Enciso,et al. Evaluation of the reliability and accuracy of using cone-beam computed tomography for diagnosing periapical cysts from granulomas. , 2013, Journal of endodontics.
[3] Andrew J. Saykin,et al. Fourier method for large-scale surface modeling and registration , 2009, Comput. Graph..
[4] Mohamed Shweel,et al. A comparative study of cone-beam CT and multidetector CT in the preoperative assessment of odontogenic cysts and tumors , 2013 .
[5] Marie Chupin,et al. Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging , 2009, NeuroImage.
[6] Guido Gerig,et al. Parametrization of Closed Surfaces for 3-D Shape Description , 1995, Comput. Vis. Image Underst..
[7] Minh N. Do,et al. The Nonsubsampled Contourlet Transform: Theory, Design, and Applications , 2006, IEEE Transactions on Image Processing.
[8] Emre Köse,et al. Well-Defined Radiolucent Lesion and a Rare Anatomical Variation Bilateral Canalis Sinuosus in the Maxilla and Role of Cbct in Diagnosis , 2015 .
[9] Carlos Estrela,et al. Three-dimensional images contribute to the diagnosis of mucous retention cyst in maxillary sinus , 2012, Medicina oral, patologia oral y cirugia bucal.
[10] Moo K. Chung,et al. Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter , 2007, IEEE Transactions on Medical Imaging.
[11] E Tammisalo,et al. Development of a compact computed tomographic apparatus for dental use. , 1999, Dento maxillo facial radiology.
[12] Yoshinobu Sato,et al. Automatic segmentation of maxillofacial cysts in cone beam CT images , 2016, Comput. Biol. Medicine.
[13] Shubing Wang,et al. Weighted Fourier Image Analysis and Modeling , 2008 .
[14] Douglas W. Jones,et al. Shape analysis of brain ventricles using SPHARM , 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).
[15] P. Mozzo,et al. A new volumetric CT machine for dental imaging based on the cone-beam technique: preliminary results , 1998, European Radiology.
[16] Fillia Makedon,et al. A surface-based approach for classification of 3D neuroanatomic structures , 2004, Intell. Data Anal..
[17] Louis M. Lin,et al. Evaluation of pathologists (histopathology) and radiologists (cone beam computed tomography) differentiating radicular cysts from granulomas. , 2010, Journal of endodontics.
[18] A. Banumathi,et al. Automated Diagnosis and Severity Measurement of Cyst in Dental X-ray Images using Neural Network( Biosensors: Data Acquisition, Processing and Control) , 2009 .
[19] George Taybos,et al. Cysts of the Oral and Maxillofacial Regions , 2008 .
[20] Moo K. Chung,et al. Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation , 2008, IEEE Transactions on Medical Imaging.
[21] Mark G. Eramian,et al. Automated classification of four types of developmental odontogenic cysts , 2014, Comput. Medical Imaging Graph..
[22] Trevor J. Hastie,et al. Sparse Discriminant Analysis , 2011, Technometrics.
[23] Reyes Enciso,et al. Differential diagnosis of large periapical lesions using cone-beam computed tomography measurements and biopsy. , 2006, Journal of endodontics.
[24] Reyes Enciso,et al. Non-invasive differential diagnosis of dental periapical lesions in cone-beam CT , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[25] Miss A.O. Penney. (b) , 1974, The New Yale Book of Quotations.
[26] Yoshinobu Sato,et al. Classification of Normal and Diseased Liver Shapes based on Spherical Harmonics Coefficients , 2014, Journal of Medical Systems.