首页> 外文期刊>電子情報通信学会技術研究報告. 医用画像. Medical Imaging >Tumor region extraction keeping boundary shape information and its application to benign/malignant discrimination of tumors
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Tumor region extraction keeping boundary shape information and its application to benign/malignant discrimination of tumors

机译:肿瘤区提取保持边界形状信息及其在肿瘤良性/恶性辨别中的应用

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摘要

This paper presents a method to exactly extract tumor regions for discrimination between benign tumor and malignant tumor from chest X-ray CT images used for a close medical examination. For benign/malignant discrimination using CAD(Computer-Aided Diagnosis) system, tumor regions which have exact edge information is required to define regions for calculation of features and quantification of edge information itself. We applied the method to seventy-eight practical chest X-ray CT images. It was shown that tumor regions in sixty-seven CT images were extracted with detailed shapes of boundary. Furthermore, we tested this method bt applying it to sixty-seven CT images which were extracted tumor regions well. It was confirmed that the performance of discrimination was improved by using the tumor regions extracted by the proposed method.
机译:本文呈现了一种方法来精确提取肿瘤区域,用于从胸部X射线CT图像中用于密切体检的胸腔X射线图像之间的歧视。 对于使用CAD(计算机辅助诊断)系统的良性/恶性歧视,需要具有精确的边缘信息的肿瘤区域来定义用于计算边缘信息本身的特征和量化的区域。 我们将该方法应用于七十八实用胸部X射线CT图像。 结果表明,用详细的边界形状提取六十七种CT图像中的肿瘤区域。 此外,我们测试了该方法BT将其施加到六十七种CT图像中,良好地提取肿瘤区域。 证实,通过使用所提出的方法提取的肿瘤区域改善了歧视性能。

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