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 …

Introduction In modern days, checking the huge number of MRI (magnetic resonance
imaging) images and finding a brain tumour manually by a human is a very tedious and …

Brain tumor segmentation is an important task in medical image processing. Early diagnosis
of brain tumors plays an important role in improving treatment possibilities and increases the …

Brain tumor identification using magnetic resonance images (MRI) is an important research
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …

Brain tumors can appear anywhere in the brain and have vastly different sizes and
morphology. Additionally, these tumors are often diffused and poorly contrasted …

Brain tumor is a group of anomalous cells. The brain is enclosed in a more rigid skull. The
abnormal cell grows and initiates a tumor. Detection of tumor is a complicated task due to …

Purpose and aim: Detection of brain tumors plays a critical role in the treatment of patients.
Before any treatment, tumor segmentation is crucial to protect healthy tissues during …

Brain imaging techniques play an important role in determining the causes of brain cell
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …

Automatic classification of brain tumor types is essential to accelerate the treatment process
and increase the patient's survival rate. In today's world, magnetic resonance imaging is …

Abstract The Internet of Things (IoT) has revolutionized the medical world by facilitating data
acquisition using various IoT devices. These devices generate the data in multiple forms …