Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane Classification

Generative adversarial networks (GANs) have been recently applied to medical imaging on different modalities (MRI, CT, X-ray, etc). However there are not many applications on ultrasound modality as a data augmentation technique applied to downstream classification tasks. This study aims to explore a...

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Detalles Bibliográficos
Autores principales: Montero, Alberto, Bonet-Carne, Elisenda, Burgos-Artizzu, Xavier Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659720/
https://www.ncbi.nlm.nih.gov/pubmed/34883977
http://dx.doi.org/10.3390/s21237975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659720/
https://www.ncbi.nlm.nih.gov/pubmed/34883977
http://dx.doi.org/10.3390/s21237975

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