Generative Adversarial Networks in Brain Imaging: A Narrative Review

Artificial intelligence (AI) is expected to have a major effect on radiology as it demonstrated remarkable progress in many clinical tasks, mostly regarding the detection, segmentation, classification, monitoring, and prediction of diseases. Generative Adversarial Networks have been proposed as one...

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Detalles Bibliográficos
Autores principales: Laino, Maria Elena, Cancian, Pierandrea, Politi, Letterio Salvatore, Della Porta, Matteo Giovanni, Saba, Luca, Savevski, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028488/
https://www.ncbi.nlm.nih.gov/pubmed/35448210
http://dx.doi.org/10.3390/jimaging8040083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028488/
https://www.ncbi.nlm.nih.gov/pubmed/35448210
http://dx.doi.org/10.3390/jimaging8040083

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