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。
Adopting colour characteristics and texture features based on gray level co - occurrence matrix in lesion areas of osteo- sarcoma 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.
出处
《医学信息学杂志》
CAS
2010年第9期32-34,共3页
Journal of Medical Informatics
关键词
支持向量机
灰度共生矩阵
骨肉瘤
自动识别
Support vector machine
Gray symbiotic matrix
Osteosarcoma
Automatic recognition