Ultrasound breast tumor image computer-aided diagnosis with texture and morphological features.
暂无分享,去创建一个
[1] Ruey-Feng Chang,et al. Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors , 2004, Breast Cancer Research and Treatment.
[2] J. K. Martin,et al. Prebiopsy localization of nonpalpable breast lesions. , 1984, AJR. American journal of roentgenology.
[3] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[4] Massimiliano Pontil,et al. Support Vector Machines for 3D Object Recognition , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[5] J. Sethian,et al. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .
[6] Alicia Samuels,et al. Cancer Statistics, 2003 , 2003, CA: a cancer journal for clinicians.
[7] A. Giuliano,et al. The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions. , 1991, AJR. American journal of roentgenology.
[8] J. Sethian. Level set methods : evolving interfaces in geometry, fluid mechanics, computer vision, and materials science , 1996 .
[9] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[10] D. Chen,et al. Computer-aided diagnosis applied to US of solid breast nodules by using neural networks. , 1999, Radiology.
[11] M Rubin,et al. Use of fine needle aspiration for solid breast lesions is accurate and cost-effective. , 1997, American journal of surgery.
[12] R. Chang,et al. Support vector machines for diagnosis of breast tumors on US images. , 2003, Academic radiology.
[13] H. Biersack,et al. Scintimammography with technetium-99m methoxyisobutylisonitrile: comparison with mammography and magnetic resonance imaging , 1996, European Journal of Nuclear Medicine.
[14] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[15] A. Stavros,et al. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. , 1995, Radiology.
[16] Douglas L. Jones,et al. Edge detection in ultrasound speckle noise , 1994, Proceedings of 1st International Conference on Image Processing.
[17] L. Esserman. New approaches to the imaging, diagnosis, and biopsy of breast lesions. , 2002, Cancer journal.
[18] R. Chang,et al. Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis. , 2003, Ultrasound in medicine & biology.
[19] Patrick Haffner,et al. Support vector machines for histogram-based image classification , 1999, IEEE Trans. Neural Networks.
[20] Guido Gerig,et al. Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.
[21] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.