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 …

Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …

Diagnosing a brain tumor takes a long time and relies heavily on the radiologist's abilities
and experience. The amount of data that must be handled has increased dramatically as the …

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 …

Most primary brain malignancies are malignant tumors characterized by masses of
abnormal tissue that grow uncontrollably. Recently, deep transfer learning (DTL) has been …

Inspired by the biological evolution, this paper proposes an evolutionary synthesis
mechanism to automatically evolve DenseNet towards high sparsity and efficiency for …

Brain tumor classification is one of the most difficult tasks for clinical diagnosis and treatment
in medical image analysis. Any errors that occur throughout the brain tumor diagnosis …

Owing to their superior capabilities and advanced achievements, Transformers have
gradually attracted attention with regard to understanding complex brain processing …

In the world, brain tumor (BT) is considered the major cause of death related to cancer,
which requires early and accurate detection for patient survival. In the early detection of BT …

Serious consequences due to brain tumors necessitate a timely and accurate diagnosis.
However, obstacles such as suboptimal imaging quality, issues with data integrity, varying …