| 摘 要: 运用MATLAB软件对乳腺癌X光片做预处理、特征提取、基于SVM算法的分类器识别及辅助诊断。经反 复实验完成纹理特征提取、核函数选取、参数优化、样本优化等步骤，为影像学医师的诊断预测提供一种便捷有效的辅 助方式，减轻了医生的工作量，提高了医生的工作效率，降低漏诊误诊的机率。 |
| 关键词: 乳腺癌X光片 辅助诊断 SVM算法 特征提取 |
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中图分类号: TP311
文献标识码: A
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| 基金项目: 国家自然科学基金资助项目，项目编号：81560304；海南省自然科学基金资助项目，项目编号：20156224. |
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| Design and Implementation of the Breast X-Ray Assisted Diagnosis System Based on SVM Algorithm |
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NIU Lin,ZHANG Yuwei,ZHANG Luxin
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( Hainan Medical College, Haikou 571199, China)
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| Abstract: MATLAB software is used to preprocess breast cancer X-rays,feature extraction,classifier recognition based on SVM algorithm,assisted diagnosis and process information storage.After repeated experiments,texture feature extraction,kernel function selection,parameter optimization,sample optimization and other steps have been completed.It provides a convenient and effective assisting way for imaging doctors to diagnose and predict,reduces the workload and improves the efficiency of doctors,and reduces the chance of misdiagnosis. |
| Keywords: breast X-ray assisted diagnosis SVM algorithm feature extraction |
