Brain cancer detection and localization based on Explainable Artificial Intelligence (X-AI)
technology have the potential to be a valuable tool for the accurate and efficient diagnosis of …

The COVID-19 pandemic has placed unprecedented demands on healthcare systems
worldwide, particularly in the realm of testing and diagnosis. RT-PCR (Reverse Transcription …

Multi-cancer early detection (MCED) tests aim to identify multiple cancers at an early stage
through the analysis of a single specimen, typically utilizing blood or liquid biopsy. However …

Breast cancer segmentation is a pivotal aspect of the diagnostic and treatment process for
effective breast cancer management. This paper introduces a novel approach to breast …

Image recognition algorithms have been an integral part of computer security systems since
the early days of the technology. Although a typical username and password can be …

Deepfake videos, which are artificial intelligence-altered videos that have acquired
extensive awareness recently. Deep learning algorithms are utilized to create these …

Because deep fakes might skew our impression of the truth, we need to come up with a
method for better spotting them. This paper proposes a new forensic technique to detect …

Recently, data mining has become a useful tool in the healthcare sector for predicting
disease. The process of mining data involves retrieving information from vast databases …