In the era of healthcare and its related research fields, the dimensionality problem of high-
dimensional data is a massive challenge as it is crucial to identify significant genes while …

Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …

Nanoparticles (NPs) serve as the contrasting agent in the computed tomography (CT)
guided interventional devices and processes. The high contrast imaging of the patient is …

This study aims to investigate the reliability of radiomic features extracted from contrast-
enhanced computer tomography (CT) by AX-Unet, a pancreas segmentation model, to …

Cancer is a common disease with an increasing mortality rate in recent years. Lung cancer
is the most common cancer in men and women alike. It is caused by uncontrolled cell …

Artificial intelligence (AI) is an epoch-making technology, among which the 2 most advanced
parts are machine learning and deep learning algorithms that have been further developed …

Purpose One of the most deadly diseases is pancreatic cancer, and it is challenging to find
an early stage of cancer, and the cause of the “cancer” symptoms only appears during a …

There are several cancer detection methods with their own disadvantages in flexibility, non-
linear complexity and sensitive in imbalance data. In this paper, a new fuzzy bio-inspired …

Artificial intelligence technology has been applied in real life to help people solve various
problems, such as smart transportation, smart cities, and smart healthcare. Machine …

Retracted: Detection of Pancreatic Cancer in CT Scan Images Using PSO SVM and Image
Processing - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …