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A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays
Deep learning has provided numerous breakthroughs in natural imaging tasks. However, its successful application to medical images is severely handicapped with the limited amount of annotated training data. Transfer learning is commonly adopted for the medical imaging tasks. However, a large covarian...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083924/ https://www.ncbi.nlm.nih.gov/pubmed/33948047 http://dx.doi.org/10.1007/s00521-021-06044-0 |