Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

The purpose of this project is to build a ChatBot that utilises NLP (Natural Language
Processing) and assists customers. A ChatBot is an automated conversation system that …

Given the potential of machine learning algorithms in revolutionizing the bioengineering
field, this paper examined and summarized the literature related to artificial intelligence (AI) …

Characteristics such as low contrast and significant organ shape variations are often
exhibited in medical images. The improvement of segmentation performance in medical …

INTRODUCTION: Covid-19 has exposed the necessitate for the rapid acceptance of
increasingly pioneering digital health technologies, especially remote health monitoring …

Digital images are being frequently used for diagnosis in clinics today. Diagnostic images
with identifying patient data are stored and transmitted across open networks. Security …

The investigation of uncertainty is of major importance in risk-critical applications, such as
medical image segmentation. Belief function theory, a formal framework for uncertainty …

The task of segmentation of brain regions affected by ischemic stroke is help to tackle
important challenges of modern stroke imaging analysis. Unfortunately, at the moment, the …

This study aims to enhance learning among school students through Virtual Reality. Virtual
learning gives a guaranteed environment in the education field. Recently, many schools …