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

doi:10.1109/nssmic.2006.353752

arXiv · physics/0701161

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

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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.

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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. 2007-01-15. Lung Nodule Detection in Screening Computed Tomography. https://doi.org/10.1109/nssmic.2006.353752

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