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1. 中国科学院西安光学精密机械研究所,陕西,西安,710119
2. 中国科学院大学,北京,100049
3. 西北大学信息科学与技术学院,陕西,西安,710127
4. 武警工程大学装备工程学院,陕西,西安,710086
Published:2016
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A New Strategy Lung Nodules Detection Algorithm[J]. Acta Electronica Sinica, 2016, 44(6): 1413-1419.
A New Strategy Lung Nodules Detection Algorithm[J]. Acta Electronica Sinica, 2016, 44(6): 1413-1419. DOI: 10.3969/j.issn.0372-2112.2016.06.023.
针对计算机在肺部CT肺结节辅助检测过程中
二维CT图像序列血管横截面与肺结节成像特征类似
导致无法有效检测的问题
提出新策略的肺结节检测算法.以格式塔心理学为基础
以去除血管的新策略间接的对肺结节进行检测.实验结果表明
本算法可有效降低血管对肺结节检测的影响
从而提高肺结节的检测精度.
When lung nodules are detected in lung CT by computers
the vessel cross section and lung nodule have similar imaging characteristics in the two-dimensional CT image sequence
resulting in unable to detect problems precisely.We employed a new strategy for the lung nodules detection algorithm
which is based on the Gestalt psychology.This method can detect lung nodules indirectly by removing blood vessels.The experimental results show that
this algorithm can effectively reduce the influence of blood vessels on lung nodule detection
so as to improve the accuracy of detection of lung nodules.
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