1) 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。
2) nodule segmentation
结节分割
1.
Pulmonary nodule segmentation algorithm based on three-domain mean shift clustering;
一种基于CI特征的3-域均值平移聚类肺结节分割算法(英文)
2.
To solve the segmentation problem of the blurred image edge and the connection of lung nodule to peripheral tissues,a new selection method is proposed by adaptive bandwidth mean shift and its mean shift is applied to nodule segmentation.
针对肺结节与周围组织相连且边缘模糊造成分割困难的问题,提出一种新的均值漂移(meanshift)带宽自动选取方法并采用均值漂移算法解决结节分割。
3) lungregion segmentation
肺区分割
4) heart and lung segmentation
心肺分割
5) 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。
6) pulmonary nodules
肺结节
1.
Spiral CT targeted scan and three-phase of enhancement scanning union application to pulmonary nodules qualitative diagnosis value;
螺旋CT靶扫描与3期增强扫描联合应用对肺结节的诊断及临床应用价值
2.
detection of pulmonary nodules with dual-energy subtraction with direct digital radiography: comparison with low dose spiral CT;
DR双能减影与低剂量螺旋CT扫描在肺结节检测中的对照研究
3.
Dynamic enhancement patterns of solitary pulmonary nodules at multi-detector row CT and correlation with vascular endothelial growth factor and microvessel density
孤立性肺结节多层螺旋CT动态增强与VEGF、MVD表达的相关性
补充资料：肺内孤立结节
肺内孤立结节
影像学术语。X线检查中显示的肺内＜4cm的类圆形病灶，无肺不张、肺炎、卫星病灶和局部淋巴结肿大。高分辨率CT(HRCT)显示结节内有均匀低密度区者主要见于良性病变，结节内有非均匀的低密度区者主要见于恶性病变。这些低密度区包括：①空洞。②含气的支气管。③坏死。良性结节的特征是：①结节的边缘光滑，有轻度分叶，无毛刺。②结节的中心有条状或弥漫性钙化，至少占横断面的10%。③钙化至少在两个连续薄层层面上出现。恶性结节的钙化是非中心、细小的条状，钙化的范围小于结节的10%。CT增强扫描中，恶性结节强化行为明显于良性结节。
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