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Hybrid morphological-convolutional neural networks for computer-aided diagnosis
Training deep Convolutional Neural Networks (CNNs) presents challenges in terms of memory requirements and computational resources, often resulting in issues such as model overfitting and lack of generalization. These challenges can only be mitigated by using an excessive number of training images....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546173/ https://www.ncbi.nlm.nih.gov/pubmed/37795497 http://dx.doi.org/10.3389/frai.2023.1253183 |