Cancer Imaging and Brain Tumor Diagnosis

Diagnosis of brain tumor using PNN neural networks

Cells grow and then need a very neat method to create new cells that work properly to maintain the health of the body. When the ability to control the growth of the cells is lost, they are unconsidered and often divided without order. Exemplified cells form a tissue mass called the tumor. In fact, brain tumors are abnormal and uncontrolled cell proliferations. Segmentation methods are used in b...

Diagnosis of brain tumor using image processing and determination of its type with RVM neural networks

Typically, the diagnosis of a tumor is done through surgical sampling, which is more precise with existing methods. The difference is that this is an aggressive, time consuming and expensive way. In the statistical method, due to the complexity of the brain tissues and the similarity between the cancerous cells and the natural tissues, even a radiologist or an expert physician may also be in er...

Diagnosis and treatment of the Cancer Tumor Cells (CTCs); Capturing and Diagnosing Kits

Objective(s): In the developed countries, one of the leading causes of death is cancer. Cancer cells with their unique and destructive characteristics impose high costs on communities. Methods: In this study, we will review the latest cancer researches an...

Brain tumor imaging: posttherapy.

Modern Brain Tumor Imaging

The imaging and clinical management of patients with brain tumor continue to evolve over time and now heavily rely on physiologic imaging in addition to high-resolution structural imaging. Imaging remains a powerful noninvasive tool to positively impact the management of patients with brain tumor. This article provides an overview of the current state-of-the art clinical brain tumor imaging. In...