Abstract Background and Objectives: Transformer is a model relying entirely on self-
attention which has a wide range of applications in the field of natural language processing …

Despite the multiple ongoing and novel initiatives for developing brain-targeted drug
delivery systems, insurmountable obstacles remain. A perfect drug delivery device that can …

Background Regularly updated epidemiological data on the burden of brain and central
nervous system (CNS) cancers are important in the prioritization of research and the …

Simple Summary Radiogenomics is a relatively new advancement in the understanding of
the biology and behaviour of cancer in response to conventional treatments. One of the most …

The brain tumor is one of the deadliest diseases of all cancers. Influenced by the recent
developments of convolutional neural networks (CNNs) in medical imaging, we have formed …

The independent detection and classification of brain malignancies using magnetic
resonance imaging (MRI) can present challenges and the potential for error due to the …

Background Brain cancer is a serious issue in the global burden of diseases. This
observational research aimed to assess trends of the brain cancer incidence and mortality in …

Brain tumor classification is crucial for medical evaluation in computer-assisted diagnostics
(CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) …

In the case of magnetic resonance imaging (MRI) imaging, image processing is crucial. In
the medical industry, MRI images are commonly used to analyze and diagnose tumor …

Background Brain and central nervous system (CNS) cancers represent a major source of
cancer burden in China and the United States. Comparing the two countries' …