¿Real o sintética? Explorando el uso de GANs en imágenes de RMN cerebral y Turing-test.

Jorge O  Suárez; Stephannie  Jimenez; Diana  Reina; Adriana  Valero

doi:10.26852/01234250.706

Vol. 26 No. 3 (2023), Artículos cortos

Vol. 26 No. 3 (2023)

Real or Synthetic? Exploring the Use of GANs in Brain MRI Images and the Turing Test.

Artículos cortos

https://doi.org/10.26852/01234250.706

Published 2024-05-13

Jorge O Suárez⁺⁻
Stephannie Jimenez⁺⁻
Diana Reina⁺⁻
Adriana Valero⁺⁻

Jorge O Suárez

Stephannie Jimenez

Diana Reina

Adriana Valero

PDF (Español (España))

Keywords

Inteligencia Artificial
Aprendizaje Automático
Redes Neurales de la Computación
Imagen por Resonancia Magnética
Cerebro Artificial Intelligence
Machine Learning
Neural Networks Computer
Mag- netic Resonance Imaging
Brain
Magnetic Resonance Imaging

How to Cite

Suárez, J. O. ., Jimenez, S. ., Reina, D. ., & Valero, A. . (2024). Real or Synthetic? Exploring the Use of GANs in Brain MRI Images and the Turing Test. Revista Médica Sanitas, 26(3). https://doi.org/10.26852/01234250.706

Abstract

Generative Adversarial Networks (GANs), are currently popular artificial intelligence algorithms known for their ability to synthesize data. Given their potential

application in radiology, the aim of the study is to gene- rate synthetic FLAIR and SWI brain MRI images using GANs and evaluate their quality using Turing tests.