76 citations · 167 across the 19 of their papers we have counts for
17 papers
A response matrix determined with a coincidence-based acquisition for correction of charge sharing spectral distortions in energy-resolved photon counting detectors
Vincenzo Monaco, Luca Brombal, Pasquale Delogu +7
A model-independent method is proposed to characterize and correct charge sharing spectral distortions in energy-resolved X-ray acquisitions with pixellated photon-counting detecto…
Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier
P. Delogu, M. E. Fantacci, P. Kasae +1
The computer-aided diagnosis system we developed for the mass characterization is mainly based on a segmentation algorithm and on the neural classification of several features comp…
Automated detection of lung nodules in low-dose computed tomography
D. Cascio, S. C. Cheran, A. Chincarini +11
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector computed-tomography (CT) images has been developed in the framework o…
Lung nodule detection in low-dose and high-resolution CT scans
P. Delogu, M. E. Fantacci, I. Gori +3
We are developing a computer-aided detection (CAD) system for the identification of small pulmonary nodules in screening CT scans. The main modules of our system, i.e. a dot-enhanc…
An automatic system to discriminate malignant from benign massive lesions in mammograms
P. Delogu, M. E. Fantacci, P. Kasae +1
Evaluating the degree of malignancy of a massive lesion on the basis of the mere visual analysis of the mammogram is a non-trivial task. We developed a semi-automated system for ma…
A multi-scale approach to the computer-aided detection of microcalcification clusters in digital mammograms
P. Delogu, M. E. Fantacci, A. Retico +2
A computer-aided detection (CADe) system for the identification of microcalcification clusters in digital mammograms has been developed. It is mainly based on the application of wa…