Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

Multimodal classification research has been gaining popularity with new datasets in
domains such as satellite imagery, biometrics, and medicine. Prior research has shown the …

Background Detecting brain tumors in their early stages is crucial. Brain tumors are
classified by biopsy, which can only be performed through definitive brain surgery …

The classification of brain tumors is performed by biopsy, which is not usually conducted
before definitive brain surgery. The improvement of technology and machine learning can …

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 …

Brain tumor represents one of the most fatal cancers around the world. It is common cancer
in adults and children. It has the lowest survival rate and various types depending on their …

Brain tumors are the 10th leading reason for the death which is common among the adults
and children. On the basis of texture, region, and shape there exists various types of tumor …

Brain tumor is considered as one of the deadliest and most common form of cancer both in
children and in adults. Consequently, determining the correct type of brain tumor in early …

According to official statistics, cancer is considered as the second leading cause of human
fatalities. Among different types of cancer, brain tumor is seen as one of the deadliest forms …

Brain tumor classification is a challenging task in the field of medical image processing. The
present study proposes a hybrid method using Neutrosophy and Convolutional Neural …