A Federated Learning Framework for Stenosis Detection

no code implementations • 30 Oct 2023 • Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni, Andi Mucaj, Alessandro Maolo, Alessandro Aprile, Emanuele Frontoni, Maria Chiara Fiorentino, Sara Moccia

Our results showed that the FL framework does not substantially affects clients 2 performance, which already achieved good performance with local training; for client 1, instead, FL framework increases the performance with respect to local model of +3. 76%, +17. 21% and +10. 80%, respectively, reaching P rec = 73. 56, Rec = 67. 01 and F1 = 70. 13.

Federated Learning

Performance assessment of medical and non-medical CPAP interfaces used during the COVID-19 pandemic

no code implementations • 9 May 2022 • Marco Marini, Lorenzo Capponi, Ilaria Battistoni, Tommaso Tocci, Giulio Tribbiani, Francesco Merante, Matteo Francioni, Maria Vittoria Matassini, Giulia Pongetti, Matilda Skhoza, Luca Angelini, Roberto Marsili, Marco Mazzanti, Gian Piero Perna, Gianluca Rossi, Alberto Gili

The aims of our study were: to assess the performances of three masks and a CPAP helmet in their original configuration and after modifications, in the maintenance of mean pressure and half-amplitude variations using different PEEP valves and to analyse the impact of antibacterial (AB) or antibacterial-viral (ABV) pre-valve PEEP filters on the effective PEEP delivered to the patients.