English

Lung Nodule Detection in Screening Computed Tomography

Medical Physics 2016-11-17 v1

Abstract

A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical Computed Tomography (CT) images with 1.25 mm slice thickness is presented. The basic modules of our lung-CAD system, a dot-enhancement filter for nodule candidate selection and a neural classifier for false-positive finding reduction, are described. The results obtained on the collected database of lung CT scans are discussed.

Keywords

Cite

@article{arxiv.physics/0701161,
  title  = {Lung Nodule Detection in Screening Computed Tomography},
  author = {I. Gori and R. Bellotti and P. Cerello and S. C. Cheran and G. De Nunzio and M. E. Fantacci and P. Kasae and G. L. Masala and A. Preite Martinez and A. Retico},
  journal= {arXiv preprint arXiv:physics/0701161},
  year   = {2016}
}

Comments

3 pages, 4 figures; Proceedings of the IEEE NNS and MIC Conference, Oct. 29 - Nov. 4, 2006, San Diego, California