| 基于支持向量机的骨肉瘤X线图像中病变区域的自动识别研究 |
| 投稿时间：2010-03-01 点此下载全文 |
| 引用本文：李超峰,刘燕,胡珊等.基于支持向量机的骨肉瘤X线图像中病变区域的自动识别研究[J].医学信息学杂志,2010,(9):32-34 |
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| 中文摘要:采用骨肉瘤X线图像中病变区域的颜色特征和基于灰度共生矩阵的纹理特征作为特征向量，研究利用支持向量机算法对骨肉瘤病变区域的自动识别方法，结果充分表明支持向量机良好的分类能力。 |
| 中文关键词:支持向量机 灰度共生矩阵 骨肉瘤 自动识别 |
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| Research on Automatic Recognition of Lesion Areas of Osteosarcoma X-ray Images Based on Support Vector Machine |
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| Abstract:Adopting colour characteristics and texture features based on gray level co-occurrence matrix in lesion areas of osteosarcoma x-ray images as the eigenvector,the paper mainly studies automatic identification method of osteosarcoma lesion areas by using support vector machine algorithm, the result proves that support vector machine has good classification ability. |
| keywords:Support vector machine Gray symbiotic matrix Osteosarcoma Automatic recognition |
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