The past few years have witnessed a significant increase in medical cases related to brain
tumors, making it the 10th most common form of tumor affecting children and adults alike …

A rapid increase in brain tumor cases mandates researchers for the automation of brain
tumor detection and diagnosis. Multi-tumor brain image classification became a …

Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

Three-class brain tumor classification becomes a contemporary research task due to the
distinct characteristics of tumors. The existing proposals employ deep neural networks for …

Brain tumors can be difficult to diagnose, as they may have similar radiographic
characteristics, and a thorough examination may take a considerable amount of time. To …

Magnetic resonance spectroscopy (MRS) is one of the non-invasive tools used in the
detection of brain tumors. MRS provides a metabolic profile about the brain. In this profile …

Brain tumor image classification is one of the predominant tasks of brain image processing.
The three‐class brain tumor classification becomes a trivial task for researchers as each …

Segregation of tumor region in brain MR image is a prominent task that instantly provides
easier tumor diagnosis, which leads to effective radiotherapy planning. For decades …

Segmentation and classification methods are very important in identifying brain diseases. It
has been observed that brain tumor is the major remediable tumor. As we know that Brain …

The proposed work develops a rapid and automatic method for brain tumour detection and
segmentation using multi-sequence magnetic resonance imaging (MRI) datasets available …