肺结节的CT计算机辅助检测和诊断的基本方法和应用_stmopen 关键词】: 肺结节;计算机辅助诊断;体层摄影术 X线计算机 [gap=478]Keywords】: Lung nodule;Computer-aided diagnosis;TomographyX-ray computed
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lung nodule detection 肺结节检测
3-D lung nodule 三维肺结节
lung nodule segmentation 肺结节分割
outline of lung nodule 肺结节轮廓
suspicious juxta-pleural lung nodule 疑似粘连肿瘤
lung mini-nodule 肺部微小结节
Lung micro nodule 肺部微小结节
Nodule - Lung 肺小结
lung metastatic nodule 肺转移结节
In the following we introduce these two parts briefly.1 TMH algorithmAfter the analysis and comparison of the existed lung nodule detection algorithms,we find that these algorithms have more or less disadvantages.
1 TMH算法通过对现有肺结节检测算法的分析和比较,发现现有的肿结节检测算法存在很多不足。
参考来源 - 肺结节检测算法的研究The segmentation of lung parenchyma is the foundation of chest CT image processing,such as lung nodule detection,quantitative analysis of lung function,three-dimensional reconstruction,and visualization analysis.
肺组织分割是肺结节检测、肺功能定量分析、三维重建与可视化计算等胸部CT图像分析处理的基础。
参考来源 - 基于遗传算法的胸部CT图像肺组织分割 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
By standard dose schemes, the slice thickness, reconstruction interval, pitch, nodule size and position all influence the defection of the lung nodules.
常规剂量扫描条件下，扫描层厚、重建间隔、螺距、结节大小、结节位置均可影响结节的检出。
Results The incidence of vessel convergence was 88.5%(46/52) in the peripheral small lung carcinoma, and 18.2%(4/22) in benign lung nodule, both of which differed significantly(P<0.001).
结果血管集束征在周围型小肺癌的出现率为88.5%（46/52），肺良性结节出现率为18.2%（4/22），二者之间有非常显著差异性（P<0.001）。
One of the major limitations of CT screening is the number of screens in which a nodule or other indeterminate finding potentially related to lung cancer is found.
CT成像的一个主要局限性在于要做几次扫描才能发现一个结节或其它可能与肺癌相关的异常。
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