Cargando…
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
The COVID-19 outbreak continues to threaten the health and life of people worldwide. It is an immediate priority to develop and test a computer-aided detection (CAD) scheme based on deep learning (DL) to automatically localize and differentiate COVID-19 from community-acquired pneumonia (CAP) on che...
Autores principales: | Wang, Zheng, Xiao, Ying, Li, Yong, Zhang, Jie, Lu, Fanggen, Hou, Muzhou, Liu, Xiaowei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448783/ https://www.ncbi.nlm.nih.gov/pubmed/32868956 http://dx.doi.org/10.1016/j.patcog.2020.107613 |
Ejemplares similares
-
Community-acquired pneumonia – use of chest x-rays for diagnosis in family practice
por: Eilat-Tsanani, Sophia, et al.
Publicado: (2022) -
Chest computed tomography and chest X-ray in the diagnosis of
community-acquired pneumonia: a retrospective observational
study
por: Ibrahim, Dima, et al.
Publicado: (2021) -
Use of chest X-ray in the assessment of community acquired pneumonia in primary care – an intervention study
por: Moberg, Anna B, et al.
Publicado: (2020) -
Automatic detection of pneumonia in chest X-ray images using textural features
por: Ortiz-Toro, César, et al.
Publicado: (2022) -
Diagnostic Accuracy of Chest x-Ray and Ultrasonography in Detection of Community Acquired Pneumonia; a Brief Report
por: Taghizadieh, Ali, et al.
Publicado: (2015)