Lung Nodule Detection in Screening Computed Tomography

Authors

I Gori
R Bellotti
P Cerello
SC Cheran
et al

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.

DOI

10.1109/nssmic.2006.353752

Publication Date

2006-01-01

Event

2006 IEEE Nuclear Science Symposium Conference Record

Publication Title

2006 IEEE Nuclear Science Symposium Conference Record

Publisher

IEEE

Embargo Period

2024-11-19

Recommended Citation

Gori, I., Bellotti, R., Cerello, P., Cheran, S., & et al. (2006) 'Lung Nodule Detection in Screening Computed Tomography', 2006 IEEE Nuclear Science Symposium Conference Record, . IEEE: Available at: 10.1109/nssmic.2006.353752