Ovarian Tumor Characterization using 3D Ultrasound
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U Rajendra Acharya | M Muthu Rama Krishnan | Filippo Molinari | Jasjit S Suri | Luca Saba | S Vinitha Sree | Stefano Guerriero | J. Suri | U. Acharya | F. Molinari | L. Saba | M. R. Krishnan | S. Guerriero | S. Sree | M. M. R. Krishnan
[1] Baochang Zhang,et al. Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor , 2010, IEEE Transactions on Image Processing.
[2] Kenneth I. Laws,et al. Rapid Texture Identification , 1980, Optics & Photonics.
[3] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[4] Shu Liao,et al. Dominant Local Binary Patterns for Texture Classification , 2009, IEEE Transactions on Image Processing.
[5] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Matti Pietikäinen,et al. A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..
[7] Mitja Lenic,et al. Segmentation of Ovarian Ultrasound Images Using Single Template Cellular Neural Networks Trained with Support Vector Machines , 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).
[8] Feng Su,et al. The early detection of ovarian cancer: from traditional methods to proteomics. Can we really do better than serum CA-125? , 2008, American journal of obstetrics and gynecology.
[9] Mohammad Hassan Moradi,et al. Extracting Efficient Fuzzy If-Then Rules from Mass Spectra of Blood Samples to Early Diagnosis of Ovarian Cancer , 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.
[10] Steven J Skates,et al. Performance of ultrasound as a second line test to serum CA125 in ovarian cancer screening , 2014, BJOG : an international journal of obstetrics and gynaecology.
[11] Gunnar Rätsch,et al. An introduction to kernel-based learning algorithms , 2001, IEEE Trans. Neural Networks.
[12] K A Baggerly,et al. New tumor markers: CA125 and beyond , 2005, International Journal of Gynecologic Cancer.
[13] S. Zaidi,et al. Fifty years of progress in gynecologic ultrasound , 2007, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.
[14] Yuanyuan Wang,et al. Automated detection of Polycystic Ovary Syndrome from ultrasound images , 2008, EMBC 2008.
[15] Cheol Min Park,et al. Benign ovarian tumors with solid and cystic components that mimic malignancy. , 2004, AJR. American journal of roentgenology.
[16] Jagath C. Rajapakse,et al. Ovarian cancer classification with missing data , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..
[17] Wenxue Hong,et al. Feature Extraction and Analysis of Ovarian Cancer Proteomic Mass Spectra , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.
[18] Md. Mahmudur Rahman,et al. Retrieval and classification of ultrasound images of ovarian cysts combining texture features and histogram moments , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[19] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[20] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[21] Jyothi R. Tegnoor,et al. Recognition of follicles in ultrasound images of ovaries using geometric features , 2009, 2009 International Conference on Biomedical and Pharmaceutical Engineering.
[22] Xianghua Xie,et al. Handbook of Texture Analysis , 2008 .
[23] Prabir Bhattacharya,et al. Selection of optimal texture descriptors for retrieving ultrasound medical images , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[24] Jasjit S. Suri,et al. AUTOMATIC COMPUTER-BASED TRACINGS (ACT) IN LONGITUDINAL 2-D ULTRASOUND IMAGES USING DIFFERENT SCANNERS , 2009 .
[25] Maria Petrou,et al. Image processing - dealing with texture , 2020 .
[26] A. V.DavidSánchez,et al. Advanced support vector machines and kernel methods , 2003, Neurocomputing.
[27] Hiok Chai Quek,et al. Ovarian Cancer Diagnosis with Complementary Learning Fuzzy Neural Network , 2022 .