Deep Learning

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 …

High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving

High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving

Object detection precision is crucial for ensuring the safety and efficacy of autonomous driving systems. The quality of acquired images directly influences the ability of autonomous driving systems to correctly recognize and respond to other …

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

Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications

Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications

High dynamic range (HDR) imaging is vital for capturing the full range of light tones in scenes, essential for computer vision tasks such as autonomous driving. Standard commercial imaging systems face limitations in capacity for well depth, and …