Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study

Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study

Afficher d'autres versions (1)

Ali-M3, an artificial intelligence program, analyzes chest computed tomography (CT) and detects the likelihood of coronavirus disease (COVID-19) based on scores ranging from 0 to 1. However, Ali-M3 has not been externally validated. Our aim was to evaluate the accuracy of Ali-M3 for detecting COVID-...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Tatsuyoshi Ikenoue, Yuki Kataoka, Yoshinori Matsuoka, Junichi Matsumoto, Junji Kumasawa, Kentaro Tochitatni, Hiraku Funakoshi, Tomohiro Hosoda, Aiko Kugimiya, Michinori Shirano, Fumiko Hamabe, Sachiyo Iwata, Shingo Fukuma, Japan COVID-19 AI team
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2021
Sujets:
Medicine
R
Science
Q
Accès en ligne:https://doaj.org/article/b272f81f741141169857c1ff9495d25d
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Search Result 1
Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study.
Accéder au texte intégral
article
Ajouter aux favoris
Enregistré dans:
Afficher toutes les versions (2)

Documents similaires