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Deep Transfer Learning for COVID-19 Prediction: Case Study for Limited Data Problems
OBJECTIVE: Automatic prediction of COVID-19 using deep convolution neural networks based pre-trained transfer models and Chest X-ray images. METHODS: This research employs the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for e...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Bentham Science Publishers
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653418/ https://www.ncbi.nlm.nih.gov/pubmed/33231160 http://dx.doi.org/10.2174/1573405616666201123120417 |