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: https://doi.org/10.1109/nssmic.2006.353752
