Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting
pressure on the healthy parts of the brain, it can lead to significant health problems …

Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …

Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …

Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

Modern computer vision algorithms are based on convolutional neural networks (CNNs),
and both end-to-end learning and transfer learning modes have been used with CNN for …

The accurate and rapid detection of brain tumors is crucial for expediting patient
rehabilitation and saving lives. Brain tumors exhibit considerable variation in size, shape …

Security issues are threatened in various types of networks, especially in the Internet of
Things (IoT) environment that requires early detection. IoT is the network of real-time devices …

Detection of a brain tumor in the early stages is critical for clinical practice and survival rate.
Brain tumors arise in multiple shapes, sizes, and features with various treatment options …

Brain tumor (BT) is a serious issue and potentially deadly disease that receives much
attention. However, early detection and identification of tumor type and location are crucial …