Slice-selective learning for Alzheimer's disease classification using a generative adversarial network: a feasibility study of external validation.
Purpose: The aim of this feasibility study was to use slice selective learning using a Generative Adversarial Network for external validation. We aimed to build a model less sensitive to PET imaging acquisition environment, since differences in environments negatively influence network performance....
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 47; no. 9; pp. 2197 - 2207 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |