Support Vector Machines for Diagnosis of Breast Tumors on US Images1

机译：支持向量机诊断乳腺肿瘤美国图像1

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1. Diagnosis of breast tumors with ultrasonic texture analysis using support vector machines [J] . Yu-Len Huang, Kao-Lun Wang, Dar-Ren Chen Neural computing & applications . 2006,第2期

机译：使用支持向量机的超声纹理分析诊断乳腺肿瘤
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3. Least Square Support Vector Machine and Minumum Redundacy Maximum Relavance for Diagnosis of Breast Cancer from Breast Microscopic Images [J] . Sevcan Aytac Korkmaz, Mustafa Poyraz Procedia - Social and Behavioral Sciences . 2015,第1期

机译：最小二乘支持向量机和最小冗余最大相关性从乳腺癌显微图像诊断乳腺癌
4. Diagnosis of Breast Cancer Tumor Based on Manifold Learning and Support Vector Machine [C] . Kang.Yin, Jinping Xu 2008 IEEE international conference on information and automation (ICIA 2008) . 2008

机译：基于流形学习和支持向量机的乳腺癌肿瘤诊断
5. The development of a tumor specific gene therapy vector for the treatment and diagnosis of metastatic breast cancer. [D] . Huyn, Steven Taro. 2009

机译：开发用于治疗和诊断转移性乳腺癌的肿瘤特异性基因治疗载体。
6. Comparative Analysis of Logistic Regression Support Vector Machine and Artificial Neural Network for the Differential Diagnosis of Benign and Malignant Solid Breast Tumors by the Use of Three-Dimensional Power Doppler Imaging [O] . Shou-Tung Chen, Yi-Hsuan Hsiao, Yu-Len Huang, 2009

机译：Logistic回归支持向量机和人工神经网络通过三维功率多普勒成像鉴别诊断良性和恶性实体乳腺肿瘤的比较分析
7. Comparative Analysis of Logistic Regression, Support Vector Machine and Artificial Neural Network for the Differential Diagnosis of Benign and Malignant Solid Breast Tumors by the Use of Three-Dimensional Power Doppler Imaging [O] . Chen, Shou-Tung, Hsiao, Yi-Hsuan, Huang, Yu-Len, 2009

机译：Logistic回归，支持向量机和人工神经网络通过三维功率多普勒成像鉴别诊断良性和恶性实体乳腺肿瘤的比较分析

Support Vector Machines for Diagnosis of Breast Tumors on US Images1

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