| 原发性肺癌孤立性结节的自动提取 |
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| 引用本文： | 于立燕,于甬华,於文雪,舒华忠. 原发性肺癌孤立性结节的自动提取[J]. 生物医学工程研究, 2003, 22(4): 18-21 |
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| 作者姓名： | 于立燕 于甬华 於文雪 舒华忠 |
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| 作者单位： | 1. 东南大学生物医学工程系,江苏,南京,210096
2. 东南大学生物医学工程系,江苏,南京,210096;山东肿瘤医院,山东,济南,250117 |
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| 摘 要： | 研究自动分割和提取原发性肺癌肺部孤立性结节(SPN)特征的方法。对CT图像进行预处理后，首先分割出肺实质，然后用模糊C均值聚类方法对肺实质图像作进一步地细分割，提取感兴趣区域(ROI)，最后根据分形理论计算出分形维数结合灰度方差供分类判决。结果表明此方法能够有效地自动识别SPN。
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| 关 键 词： | 原发性肺癌 结节 SPN CT图像 肺肿瘤 结节病 肺 特征提取 |
| 文章编号： | 1672-6278(2003)04-0018-04 |
| 修稿时间： | 2003-06-10 |
Automatic Extraction of Separate Solitary Pulmonary Nodules Using Primary Lung Cancer CT Images |
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| YU Li-yan ,YU Yong-hua ,,YU Wen-xue ,SHU Hua-zhong. Automatic Extraction of Separate Solitary Pulmonary Nodules Using Primary Lung Cancer CT Images[J]. Journal Of Blomedical Englneerlng Research, 2003, 22(4): 18-21 |
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| Authors: | YU Li-yan YU Yong-hua YU Wen-xue SHU Hua-zhong |
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| Affiliation: | YU Li-yan 1,YU Yong-hua 1,2,YU Wen-xue 1,SHU Hua-zhong 1 |
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| Abstract: | To study a method for automatic segmenting and analyzing the features of solitary pulmonary nodules(SPN). After some pre-processing of CT images, pulmonary parenchyma was extracted, then used a fuzzy C clustering method to extract region of interest(ROI). Finally the fractal dimensions of ROI and gray deviations were used to classify the nodules from blood vessels. The results show that this method can work efficiently. |
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| Keywords: | Lung neoplasms Sarcoidosis pulmonary Segmentation Fractal dimension |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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