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Adversarial counterfactual augmentation: application in Alzheimer’s disease classification
Due to the limited availability of medical data, deep learning approaches for medical image analysis tend to generalise poorly to unseen data. Augmenting data during training with random transformations has been shown to help and became a ubiquitous technique for training neural networks. Here, we p...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365114/ https://www.ncbi.nlm.nih.gov/pubmed/37492661 http://dx.doi.org/10.3389/fradi.2022.1039160 |