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Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review
Contemporary deep learning-based decision systems are well-known for requiring high-volume datasets in order to produce generalized, reliable, and high-performing models. However, the collection of such datasets is challenging, requiring time-consuming processes involving also expert clinicians with...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742072/ https://www.ncbi.nlm.nih.gov/pubmed/36503979 http://dx.doi.org/10.1186/s13244-022-01315-3 |