Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria
Work
Year: 2021
Type: article
Abstract: This study aims at exploiting artificial intelligence (AI) for the identification, segmentation and quantification of COVID-19 pulmonary lesions. The limited data availability and the annotation quali... more
Authors Francesca Lizzi, Abramo Agosti, Francesca Brero, Raffaella Fiamma Cabini, M.E. Fantacci +9 more
Institutions Scuola Normale Superiore, University of Pavia, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, University of Sassari +1 more
Cites: 14
Cited by: 17
Related to: 10
FWCI: 2.128
Citation percentile (by year/subfield): 100
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Sustainable Development Goal Good health and well-being
Open Access status: hybrid
APC paid (est): $4,390
Funder Scuola Normale Superiore