Convolutional Neural Network-Based Automatic Analysis of Chest Radiographs for the Detection of COVID-19 Pneumonia: A Prioritizing Tool in the Emergency Department, Phase I Study and Preliminary “Real Life” Results

Convolutional Neural Network-Based Automatic Analysis of Chest Radiographs for the Detection of COVID-19 Pneumonia: A Prioritizing Tool in the Emergency Department, Phase I Study and Preliminary “Real Life” Results

The aim of our study is the development of an automatic tool for the prioritization of COVID-19 diagnostic workflow in the emergency department by analyzing chest X-rays (CXRs). The Convolutional Neural Network (CNN)-based method we propose has been tested retrospectively on a single-center set of 5...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Davide Tricarico, Marco Calandri, Matteo Barba, Clara Piatti, Carlotta Geninatti, Domenico Basile, Marco Gatti, Massimiliano Melis, Andrea Veltri
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2022-02-01
Schriftenreihe:Diagnostics
Schlagworte:
artificial intelligence
Convolutional Neural Network (CNN)
deep learning
coronavirus disease 2019 (COVID-19)
chest X-ray
prioritization
Online Zugang:https://www.mdpi.com/2075-4418/12/3/570

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https://www.mdpi.com/2075-4418/12/3/570

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