HoloBrain: 3D low-cost mobile augmented reality rendering of brain tumour using the GVF snake model segmentation
Augmented reality (AR) is a dynamic field intersecting various disciplines, with applications
spanning medicine and diagnostics. Our focus on advancing medical imaging has led to …
spanning medicine and diagnostics. Our focus on advancing medical imaging has led to …
Integrating agent-based models and clustering methods for improving image segmentation
E Cuevas, SJ García-De-Lira, CR Ascencio-Piña… - Heliyon, 2025 - cell.com
Image segmentation through clustering is a widely used technique in computer vision that
partitions an image into multiple segments by grouping pixels based on feature similarity …
partitions an image into multiple segments by grouping pixels based on feature similarity …
Augmented Reality Visualisation for ECG Classification and Heart Disease Diagnosis
Augmented Reality (AR) technology is swiftly progressing within the realm of medicine,
notably in the domain of biomedical signal processing. It strengthens diagnostic proficiency …
notably in the domain of biomedical signal processing. It strengthens diagnostic proficiency …
Augmented Reality localisation using 6 DoF phantom head Pose Estimation-based generalisable Deep Learning model
Localisation and the estimation of the six degrees of freedom (6 DoF) object's position and
orientation are essential tasks in numerous applications, such as augmented and virtual …
orientation are essential tasks in numerous applications, such as augmented and virtual …
Advancing Brain Tumor Detection: A Cutting-Edge Machine Learning Approach Leveraging CAD Systems
In recent decades, medical imaging has emerged as a vital field in medicine, playing a
crucial role in diagnosis. Computer Assisted Diagnosis (CAD) systems have become …
crucial role in diagnosis. Computer Assisted Diagnosis (CAD) systems have become …