中文

Lung Nodule Detection in Screening Computed Tomography

医学物理 2016-11-17 v1
作者: I. Gori , R. Bellotti , P. Cerello , S. C. Cheran , G. De Nunzio , M. E. Fantacci , P. Kasae , G. L. Masala , A. Preite Martinez , A. Retico
在 arXiv 上查看 ↗ PDF ↗ DOI ↗

摘要

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.

关键词

medical imaging

引用

@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}
}

备注

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

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