Cargando…
Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence
Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, the disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding the accuracy of th...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675556/ https://www.ncbi.nlm.nih.gov/pubmed/34976572 http://dx.doi.org/10.1109/ACCESS.2021.3061621 |
Ejemplares similares
-
Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach
Publicado: (2020) -
COVID-19 Detection Based on Image Regrouping and Resnet-SVM Using Chest X-Ray Images
Publicado: (2021) -
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
Publicado: (2020) -
Review of Sterilization Techniques for Medical and Personal Protective Equipment Contaminated With SARS-CoV-2
Publicado: (2020) -
A Cross-Disciplinary View of Testing and Bioinformatic Analysis of SARS-CoV-2 and Other Human Respiratory Viruses in Pandemic Settings
Publicado: (2021)