title: [An algorithm of nodule detection based on high resolution CT images].
abstract: 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.
authors.affiliation: Department of Automation, USTC, Hefei. wlhai@mail.ustc.edu.cn
authors.forename: Long-Hai
authors.initials: LH
authors.lastname: Wu
authors.forename: He-Qin
authors.initials: HQ
authors.lastname: Zhou
authors.forename: Chuan-Fu
authors.initials: CF
authors.lastname: Li