Cargando…
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
BACKGROUND: Chest radiography may play an important role in triage for coronavirus disease 2019 (COVID-19), particularly in low-resource settings. PURPOSE: To evaluate the performance of an artificial intelligence (AI) system for detection of COVID-19 pneumonia on chest radiographs. MATERIALS AND ME...
Autores principales: | Murphy, Keelin, Smits, Henk, Knoops, Arnoud J. G., Korst, Michael B. J. M., Samson, Tijs, Scholten, Ernst T., Schalekamp, Steven, Schaefer-Prokop, Cornelia M., Philipsen, Rick H. H. M., Meijers, Annet, Melendez, Jaime, van Ginneken, Bram, Rutten, Matthieu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Radiological Society of North America
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437494/ https://www.ncbi.nlm.nih.gov/pubmed/32384019 http://dx.doi.org/10.1148/radiol.2020201874 |
Ejemplares similares
-
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
por: Murphy, Keelin, et al.
Publicado: (2020) -
Explainable emphysema detection on chest radiographs with deep learning
por: Çallı, Erdi, et al.
Publicado: (2022) -
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19
por: Çallı, Erdi, et al.
Publicado: (2021) -
Automated estimation of total lung volume using chest radiographs and deep learning
por: Sogancioglu, Ecem, et al.
Publicado: (2022) -
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
por: Hendrix, Ward, et al.
Publicado: (2023)