12 citations · 21 across the 9 of their papers we have counts for
9 papers
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria
Francesca Lizzi, Abramo Agosti, Francesca Brero +11
The automatic assignment of a severity score to the CT scans of patients affected by COVID-19 pneumonia could reduce the workload in radiology departments. This study aims at explo…
Pre-processing methods for nodule detection in lung CT
S. C. Cheran, P. Delogu, I. De Mitri +12
The use of automatic systems in the analysis of medical images has proven to be very useful to radiologists, especially in the framework of screening programs, in which radiologist…
GPCALMA: a Grid-based tool for Mammographic Screening
S. Bagnasco, U. Bottigli, P. Cerello +18
The next generation of High Energy Physics (HEP) experiments requires a GRID approach to a distributed computing system and the associated data management: the key concept is the V…
GPCALMA: A Tool For Mammography With A GRID-Connected Distributed Database
U. Bottigli, P. Cerello, S. Cheran +14
The GPCALMA (Grid Platform for Computer Assisted Library for MAmmography) collaboration involves several departments of physics, INFN sections, and italian hospitals. The aim of th…
CADe tools for early detection of breast cancer
U. Bottigli, P. G. Cerello, P. Delogu +14
A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early…
GPCALMA: a Grid Approach to Mammographic Screening
S. Bagnasco, U. Bottigli, P. Cerello +7
The next generation of High Energy Physics experiments requires a GRID approach to a distributed computing system and the associated data management: the key concept is the "Virtua…