Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images

• Published in: Research on biomedical engineering Vol. 38; no. 1; pp. 149 - 162
• Main Authors: Luz, Eduardo, Silva, Pedro, Silva, Rodrigo, Silva, Ludmila, Guimarães, João, Miozzo, Gustavo, Moreira, Gladston, Menotti, David
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.03.2022
• Subjects: Biomaterials; Biomedical Engineering and Bioengineering; Biomedical Engineering/Biotechnology; Engineering; Original; Original Article; Special Issue: Emerging Technologies for Fighting COVID-19; COVID-19; Deep learning; EfficientNet; Pneumonia; Chest (X-ray) radiography

Purpose Confronting the pandemic of COVID-19 is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnosis and isolation of infected patients. The standard method for COVID-19 identification, the Reverse transcription...