The efficient and reliable segmentation of three dimensional (3D) medical images is a
critical task in many diagnostic and therapy operations. Traditional segmentation methods …

This research study proposed a novel methodology that enhances image classification
accuracy by incorporating spatial analysis-driven confidence scores. The proposed pipeline …

In the era of Artificial Intelligence (AI), the role of Generative AI models has witnessed a
paradigm shift in addressing programming challenges. This research delves into the …

Face recognition has emerged as one of the crucial components in many sensitive
applications. Several algorithms use different technologies for Face recognition …

Face detection and face recognition are the most important and frequently used operations
in image processing and computer vision domains. There are many applications for face …