Biomedical Applications

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 …

A Review of Artificial Intelligence-Based Systems for Non-Invasive Glioblastoma Diagnosis

A Review of Artificial Intelligence-Based Systems for Non-Invasive Glioblastoma Diagnosis

Glioblastoma multiforme (GBM) is an aggressive brain tumor with a poor prognosis. Traditional diagnosis relies on invasive biopsies, which pose surgical risks. Advances in artificial intelligence (AI) and machine learning (ML) have improved …