A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network

Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs, computed tomography (CT) scan, and electrocardiogram (ECG) trace images are the most widely known for early discovery and analy...

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Detalles Bibliográficos
Autores principales: Ullah, Naeem, Khan, Javed Ali, El-Sappagh, Shaker, El-Rashidy, Nora, Khan, Mohammad Sohail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818310/
https://www.ncbi.nlm.nih.gov/pubmed/36611454
http://dx.doi.org/10.3390/diagnostics13010162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818310/
https://www.ncbi.nlm.nih.gov/pubmed/36611454
http://dx.doi.org/10.3390/diagnostics13010162

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