Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis
暂无分享,去创建一个
Fei Zhao | Xiaoxing Li | Rakesh Mullick | Vivek Vaidya | Soma Biswas | S. Biswas | R. Mullick | F. Zhao | Xiaoxing Li | V. Vaidya
[1] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Dorin Comaniciu,et al. Database-guided breast tumor detection and segmentation in 2D ultrasound images , 2010, Medical Imaging.
[3] R. Chang,et al. Use of the bootstrap technique with small training sets for computer-aided diagnosis in breast ultrasound. , 2002, Ultrasound in medicine & biology.
[4] M. Giger,et al. Computerized lesion detection on breast ultrasound. , 2002, Medical physics.
[5] Wagner Coelho A. Pereira,et al. Analysis of Co-Occurrence Texture Statistics as a Function of Gray-Level Quantization for Classifying Breast Ultrasound , 2012, IEEE Transactions on Medical Imaging.
[6] Hee Chan Kim,et al. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features , 2004, IEEE Trans. Medical Imaging.
[7] Heng-Da Cheng,et al. A novel fuzzy logic approach to mammogram contrast enhancement , 2002, Inf. Sci..
[8] Yan-Hui Guo,et al. Computerized-aid diagnosis of breast mass using ultrasound image. , 2007, Medical physics.
[9] Loris Nanni,et al. Local binary patterns variants as texture descriptors for medical image analysis , 2010, Artif. Intell. Medicine.
[10] C. Merritt. Combined Screening With Ultrasound and Mammography vs Mammography Alone in Women at Elevated Risk of Breast Cancer , 2009 .
[11] H. Chenga,et al. Automated breast cancer detection and classification using ultrasound images A survey , 2009 .
[12] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Moi Hoon Yap,et al. A novel algorithm for initial lesion detection in ultrasound breast images , 2008, Journal of applied clinical medical physics.
[14] Gilson A. Giraldi,et al. A New Methodology Based on q-Entropy for Breast Lesion Classification in 3-D Ultrasound Images , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[15] Dar-Ren Chen,et al. Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines , 2006, Neural Computing & Applications.
[16] John G. Proakis,et al. Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..
[17] Kilian Q. Weinberger,et al. Fast solvers and efficient implementations for distance metric learning , 2008, ICML '08.
[18] Dimitris N. Metaxas,et al. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions , 2003, IEEE Transactions on Medical Imaging.
[19] Susan M. Schultz,et al. Computer‐Based Margin Analysis of Breast Sonography for Differentiating Malignant and Benign Masses , 2004, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[20] W. Mayo-Smith,et al. Characterization of Breast Masses With Sonography , 2005, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[21] Gregory G. Slabaugh,et al. Information-Theoretic Feature Detection in Ultrasound Images , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.