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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Davide Tricarico, Marco Calandri, Matteo Barba, Clara Piatti, Carlotta Geninatti, Domenico Basile, Marco Gatti, Massimiliano Melis, Andrea Veltri
Format: Artykuł
Język:English
Wydane: MDPI AG 2022-02-01
Seria:Diagnostics
Hasła przedmiotowe:
artificial intelligence
Convolutional Neural Network (CNN)
deep learning
coronavirus disease 2019 (COVID-19)
chest X-ray
prioritization
Dostęp online:https://www.mdpi.com/2075-4418/12/3/570

Internet

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

Podobne zapisy