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Least Square Support Vector Machine and Minumum Redundacy Maximum Relavance for Diagnosis of Breast Cancer from Breast Microscopic Images

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

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Korkmaz Sevcan Aytac; Poyraz Mustafa;
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年度 2015
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1. 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
2. Breast Cancer Diagnosis System via Contourlet Transform with Sharp Frequency Localization and Least Squares Support Vector Machines [J] . Gedik Nebi Journal of Medical Imaging and Health Informatics . 2015,第3期

机译：基于Contourlet变换的夏普频率定位和最小二乘支持向量机的乳腺癌诊断系统。
3. Breast cancer diagnosis using least square support vector machine [J] . Polat K, Gunes S Digital Signal Processing . 2007,第4期

机译：使用最小二乘支持向量机的乳腺癌诊断
4. Support Vector Machine Based Diagnosis of Breast Cancer [C] . Mingqi Chen, Yinshan Jia International Conference on Communications, Information System and Computer Engineering . 2020

机译：基于支持向量机的乳腺癌诊断
5. Pattern recognition applied to the computer-aided detection and diagnosis of breast cancer from dynamic contrast-enhanced magnetic resonance breast images. [D] . Levman, Jacob. 2010

机译：模式识别从动态对比增强的磁共振乳腺图像应用于计算机辅助乳腺癌的检测和诊断。
6. Multi-Features-Based Automated Breast Tumor Diagnosis Using Ultrasound Image and Support Vector Machine [O] . Zhemin Zhuang, Zengbiao Yang, Shuxin Zhuang, 2021

机译：基于多特征的自动乳腺肿瘤诊断使用超声图像和支持向量机
7. Support Vector Machines for Diagnosis of Breast Tumors on US Images1 [O] . 2015

机译：支持向量机诊断乳腺肿瘤美国图像1
8. Partnership Training Program in Breast Cancer Diagnosis: Concept Development of the Next Generation Diagnostic Breast Imaging Using Digital Image Library and Networking Techniques [R] . Chouikha, M. F. 2006

机译：乳腺癌诊断合作培训计划：使用数字图像库和网络技术进行下一代诊断乳腺成像的概念开发

Least Square Support Vector Machine and Minumum Redundacy Maximum Relavance for Diagnosis of Breast Cancer from Breast Microscopic Images

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