2) lungregion segmentation
肺区分割
3) heart and lung segmentation
心肺分割
4) lung segmentation
肺分割
1.
It was found that the improved algorithm can provide accurate segmentation so as to make the average sensitivity of lung segmentation higher.
为了对病变肺部图像进行准确分割,对通常的肺组织分割算法进行了分析和改进,将小波变换与数学形态学引入肺分割算法。
5) Lung parenchyma
肺实质
1.
Objective: To develop and evaluate an integrated method that automatically segments lung parenchyma in whole lung helical CT scans for the automated detection of pulmonary nodules.
目的:针对CT图像上肺结节的自动检测,开发并评价对全肺螺旋CT扫描中的肺实质进行自动分割的一种综合方法。
2.
Methods Lung parenchyma were extracted from chest CT images with the inversed operation of 2D region growing and connected area classification,then the contours and locating the contour points were traced with scan line searching.
目的为解决肺实质分割中肺部结节及高密度血管易遗漏的问题,提出一种自动肺实质分割方法。
6) lung nodule segmentation
肺结节分割
1.
CAD of lung cancer has two main functions: lung nodule detection and lung nodule segmentation.
肺癌CAD有两个主要功能:肺结节检测和肺结节分割,其中,肺结节检测包括候选结节提取和去假阳。
补充资料：肺实质
肺实质
解剖学术语。肺部具有气体交换功能的含气间隙及结构。主要指由肺泡腔和肺泡壁组成的肺泡，此外还包括肺泡囊、肺泡管、1～3级呼吸性细支气管及侧支通气等结构。胸部平片上，透亮的肺野主要代表肺实质。当肺实质内的气体被炎性渗出物等取代时，X线上多表现为边缘模糊的斑片状影，常称为肺实变或肺泡性病变。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条