A comparison of Covid-19 early detection between convolutional neural networks and radiologists

Autor: Albiol A, Albiol F, Paredes R, Plasencia-Martínez JM, Blanco Barrio A, Santos JMG, Tortajada S, González Montaño VM, Rodríguez Godoy CE, Fernández Gómez S, Oliver-Garcia E, de la Iglesia Vayá M, Márquez Pérez FL, Rayo Madrid JI

Publikováno v: Insights into Imaging
r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
Universitat Rovira i virgili (URV)
r-FISABIO. Repositorio Institucional de Producción Científica
instname

BACKGROUND: The role of chest radiography in COVID-19 disease has changed since the beginning of the pandemic from a diagnostic tool when microbiological resources were scarce to a different one focused on detecting and monitoring COVID-19 lung invol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::de89f6e1ee3d63312d5889cfa4877ed9
https://fundanet.cipf.es/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4029

Critical Findings in Neuroradiology

Autor: Renato Hoffmann Nunes, Ana Lorena Abello, Mauricio Castillo

This book provides clear guidance as to which neuroradiological findings in ill or injured patients should be immediately communicated by radiologists and trainees to the emergency room and referring physicians in order to facilitate key decisions an