Abstract:
Aiming at CT lung nodule detection, the false positive rate is a major disturb factor. This paper proposes a Radial Gradient Index(RGI)- based method. Based on RGI map of CT image, RGI filter is set to reduce false-positive nodules. Experimental results show this method can efficiently reduce the False Positive Rate(FPR) in automated lung nodule detection.
Key words:
lung nodule,
Radial Gradient Index(RGI),
False Positive Rate(FPR)
摘要：
针对肺结节自动检测中假阳性率高影响检测结果的问题，提出一种筛除方法。采用基于径向梯度指数的方法降低假阳性率，生成CT图像的基于径向梯度指数图，设定基于径向梯度指数滤波器滤除假阳性结节。实验结果表明，该方法能有效降低肺结节自动检测的假阳性率。
关键词:
肺结节,
径向梯度指数,
假阳性率
CLC Number:
CAO Lei, ZHANG Yu, LU Li-Jun, CHEN Wu-Fan. False Positive Reduction Method for Lung Nodules Based on Radial Gradient Index[J]. Computer Engineering, 2010, 36(13): 7-8,12.
曹蕾, 张煜, 路利军, 陈武凡. 基于径向梯度指数的肺结节假阳性筛除方法[J]. 计算机工程, 2010, 36(13): 7-8,12.