[An algorithm of nodule detection based on high resolution CT images].
Combining the speed of two-dimensional detection with the precision of three-dimensional detection, an automatic algorithm based on high resolution CT images is proposed to identify nodules in this paper. Nodule candidates are extracted by a two-dimensional convergence index (CI) filter, then a three-dimensional Hessian matrix detection filter is introduced to reduce false positive lung nodules, Experiments show that the algorithm is effective with a sensitivity of 90% and the false positive lung nodules per slice is 0.33.
Wu
Long-Hai
LH
Department of Automation, USTC, Hefei. wlhai@mail.ustc.edu.cn
Zhou
He-Qin
HQ
Li
Chuan-Fu
CF