Conclusion The automated lung segmentation method will be helpful for nodule detection in computer-aided diagnosis.
结论本文提出的方法为进一步利用计算机辅助诊断方法对肺结节进行识别和标记提供了基础。
Automated segmentation of lung is one of key techniques in computer aided diagnosis systems to detect lung tumor.
肺区自动分割是肺部肿瘤计算机辅助诊断系统的关键之一。
The paper focuses on the research of some key medical image processing technologies in chest X-rays, including chest Radiography images enhancement, segmentation and focus recognition of lung.
本文主要研究了医学X光胸片中的几个关键图像处理技术，主要包括X光胸片图像增强、分割和肺部病灶识别。
The automatic segmentation of lung parenchyma is one of the key techniques to the computer-aided diagnosis (CAD) system for lung cancer, emphysema and other lung diseases.
肺实质的自动分割是肺癌，肺气肿等肺部疾病的计算机辅助诊断(CAD)系统的关键技术之一。
The results revealed that the proposed method is successful in segmentation lung nodules connected vessel.
结果表明，该方法对分割粘连血管型结节是有效的。
The results revealed that the proposed method is successful in segmentation lung nodules connected vessel.
结果表明，该方法对分割粘连血管型结节是有效的。
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