arXiv physics/07011612007-01-15physics.med-ph

Lung Nodule Detection in Screening Computed Tomography

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

备注：: 3 pages, 4 figures; Proceedings of the IEEE NNS and MIC Conference, Oct. 29 - Nov. 4, 2006, San Diego, California
DOI：: 10.1109/NSSMIC.2006.353752

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英文摘要：

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.

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