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A brain-like classification method for computed tomography images based on adaptive feature matching dual-source domain heterogeneous transfer learning
Transfer learning can improve the robustness of deep learning in the case of small samples. However, when the semantic difference between the source domain data and the target domain data is large, transfer learning easily introduces redundant features and leads to negative transfer. According the m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592699/ https://www.ncbi.nlm.nih.gov/pubmed/36304588 http://dx.doi.org/10.3389/fnhum.2022.1019564 |