76 citations · 139 across the 14 of their papers we have counts for
7 papers · 2 filters
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…
Computer-aided detection of pulmonary nodules in low-dose CT
P. Delogu, M. E. Fantacci, I. Gori +2
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector helical CT images with 1.25 mm slice thickness is being developed in…
An Automatic System to Discriminate Malignant from Benign Massive Lesions on Mammograms
A. Retico, P. Delogu, M. E. Fantacci +1
Mammography is widely recognized as the most reliable technique for early detection of breast cancers. Automated or semi-automated computerized classification schemes can be very u…