Deep Learning for Glioblastoma Multiforme Detection from MRI: A Statistical Analysis for Demographic Bias

Deep Learning for Glioblastoma Multiforme Detection from MRI: A Statistical Analysis for Demographic Bias

Glioblastoma, IDH-wildtype (GBM), is the most aggressive and complex brain tumour classified by the World Health Organization (WHO), characterised by high mortality rates and diagnostic limitations inherent to invasive conventional procedures. Early detection is essential for improving patient outco...

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Bibliographic Details
Main Authors: Kebin Contreras, Julio Gutierrez-Rengifo, Oscar Casanova-Carvajal, Angel Luis Alvarez, Patricia E. Vélez-Varela, Ana Lorena Urbano-Bojorge
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
glioblastoma multiforme
bias
statistic
convolutional neural networks
magnetic resonance imaging
deep learning
Online Access:https://www.mdpi.com/2076-3417/15/11/6274
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