基于Curvelet变换提取肺结节CT图像纹理建立预测模型

来源 :首都医科大学2013年研究生学术论坛 | 被引量 : 0次 | 上传用户：dusun

【摘要】

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目的：探讨基于孤立性肺结节建立支持向量机预测模型效果，提高肺癌的早期诊断率.方法：对收集来的55例患者的三正交位的4135张肺结节CT图像，应用Curvelet变换进行纹理提取，对提取的476个特征值应用支持向量机进行良恶性分类并预测，应用符合率、敏感度和特异度对预测结果进行评估.结果：实验显示CT图像符合率为78.0％，敏感度为88.6％，特异度为24.0％.结论：Curvelet转换提取三正交

【作者】

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王晶晶孙涛赵枫朝李霞蔡博文朱晓萌郭秀花

【出处】

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首都医科大学2013年研究生学术论坛

【发表日期】

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2013年2期

【关键词】

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CT图像肺结节 Curvelet转换纹理提取支持向量机

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基于Curvelet变换提取肺结节CT图像纹理建立预测模型

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