A brain tumor is one of the deadliest neurological diseases developed in the human brain.
Gliomas are the most common type of brain tumor which are originated from the glial cells of …

This scientific review presents a comprehensive overview of medical imaging modalities and
their diverse applications in artificial intelligence (AI)-based disease classification and …

Brain tumor detection is one of the most significant areas in the field of medical imaging.
Gliomas are the most common primary malignant tumors in the brain. Accurate detection of …

In recent years, various data-driven algorithms have been applied to the classification and
staging of brain glioma MRI detection. However, the restricted availability of brain glioma …

Brain tumor is an anomalous growth of glial and neural cells and is considered as one of the
primary causes of death worldwide. Therefore, it is essential to identify the tumor as soon as …

The extraction of large dam candidate regions is critical for broad-scale efforts to rapidly
detect large-area dams. The framework proposed in this paper attempts to combine random …

The need for deep convolutional neural network is increasing for medical image
classification because it provides good performance. This work elucidates the significance of …

The automatic detection of brain tumor is an emerging challenge because tumors vary in
mass, nature, position, and similarities between the normal and brain lesions. First, the …

An adaptive deep learning is recommended to segment and classify the brain tumor using
3D MRI images. Initially, the original 3D MRI images are gathered and fed into pre …

With the increasing population, more and more people are affected by brain tumors every
day. Compared to other diseases, the death rate of brain tumors is much higher. In addition …