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Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography
Limited availability of medical imaging datasets is a vital limitation when using “data hungry” deep learning to gain performance improvements. Dealing with the issue, transfer learning has become a de facto standard, where a pre-trained convolution neural network (CNN), typically on natural images...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274969/ https://www.ncbi.nlm.nih.gov/pubmed/35819537 http://dx.doi.org/10.1007/s10278-022-00666-z |