1.4k citations · 1.6k across the 25 of their papers we have counts for
20 papers · 1 filter
Multi-scale analysis of lung computed tomography images
I. Gori, F. Bagagli, M. E. Fantacci +9
A computer-aided detection (CAD) system for the identification of lung internal nodules in low-dose multi-detector helical Computed Tomography (CT) images was developed in the fram…
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…
An automated system for lung nodule detection in low-dose computed tomography
I. Gori, M. E. Fantacci, A. Preite Martinez +1
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical Computed Tomography (CT) images was developed in the framewor…
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…