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Can Generative Adversarial Networks help to overcome the limited data problem in segmentation?
PURPOSE: For image translational tasks, the application of deep learning methods showed that Generative Adversarial Network (GAN) architectures outperform the traditional U-Net networks, when using the same training data size. This study investigates whether this performance boost can also be expect...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948880/ https://www.ncbi.nlm.nih.gov/pubmed/34930685 http://dx.doi.org/10.1016/j.zemedi.2021.11.006 |