Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Convolutional neural networks (CNNs) constitute a widely used deep learning approach that
has frequently been applied to the problem of brain tumor diagnosis. Such techniques still …

Accurate classification of the type of brain tumor plays an important role in the early
diagnosis of the tumor which can be the difference between life and death. Magnetic …

Blood clots in the brain are frequently caused by brain tumors. Early detection of these clots
has the potential to significantly lower morbidity and mortality in cases of brain cancer. It is …

Detecting brain tumors plays an important role in patients' lives as it can help specialists
save them or let them succumb to a terminal illness otherwise. Magnetic Resonance …

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 …

The biopsy is a gold standard method for tumor grading. However, due to its invasive nature,
it has sometimes proved fatal for brain tumor patients. As a result, a non-invasive computer …

Deep learning models have been used in several domains, however, adjusting is still
required to be applied in sensitive areas such as medical imaging. As the use of technology …

A brain tumor is a lethal neurological disease that affects the average performance of the
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …

This study proposes the integration of attention modules, feature-fusion blocks, and baseline
convolutional neural networks for developing a robust multi-path network that leverages its …