The Brain cancer is the most dangerous and found commonly in multitude of people in the
younger stage and the adolescent stages. The early stage identification about the tumors in …

In recent years, deep learning is widely used in medical field for advance disease diagnosis.
The purpose of this study is to analyze the effect of data pre-processing techniques on …

The computer-assisted study for improved deciphering imageries has been long-lasting
topics in the field of medical imaging. Normally, various imaging techniques like ultrasound …

The advancement in the machine learning and the computer vision has caused several
improvements and development in numerous of domains. Capsule neural networks are one …

Big data refer to all of the information and documents in the form of videos, photographs,
text, created by gathering from different sources about a subject. Deep learning architectures …

Predicting the category of tumors and the types of the cancer in its early stage remains as a
very essential process to identify depth of the disease and treatment available for it. The …

The brain tumors, are the most common and aggressive disease, leading to a very short life
expectancy in their highest grade. Thus, treatment planning is a key stage to improve the …

A brain tumor is the cause of abnormal growth of cells in the brain. Magnetic resonance
imaging (MRI) is the most practical method for detecting brain tumors. Through these MRIs …

The timely diagnosis of brain tumors is currently a complicated task. The objective was to
build an image classification model to detect the existence or not of brain tumors by adding a …

In this study a functional models of Artificial Neural Networks (ANNs) is proposed to aid
existing diagnosis methods. ANNs are currently a “hot” research area in medicine …