A brain tumor is the cause of abnormal growth cells in brain. Magnetic resonance imaging (MRI) most practical method for detecting tumors. Through these MRIs, doctors analyze and identify tissue can confirm whether affected by a or not. Today, with emergence artificial intelligence techniques, detection tumors done applying techniques algorithms machine learning deep learning. The advantages ap...

High-grade gliomas are the most prevalent and lethal form of primary intracranial tumors. Despite significant progress in surgical and adjuvant therapeutic treatments for gliomas, patient prognosis still remains dismal. The ability of gliomas to invade the normal surrounding brain tissue contributes to their capacity to evade therapeutic interventions, ultimately leading to tumor recurrence and...

background there is evidence of a possible etiological role of human papillomaviruses (hpvs) in the development of colorectal cancer. loss of p53 tumor suppressor gene function has been found in many malignancies and it can occur in a variety of ways, including gene mutation and interaction with the e6 protein of oncogenic hpvs. the objective of this study was to determine the prevalence of hpv...

Brain tumor extraction and its analysis are challenging tasks in Medical image processing because brain image is complicated. Segmentation plays a very important role in the medical image processing .Image segmentation is used to take out the suspicious parts from MRI. In that way MRI (magnetic resonance imaging) has become a useful medical diagnostic tool for the diagnosis of brain. In this pr...

Advances in clinical medical imaging have brought about the routine production of vast numbers of medical images that need to be analyzed. As a result an enormous amount of computer vision research effort has been targeted at achieving automated medical image analysis. Computed Tomography (CT) is highly accurate for diagnosing liver tumors. This study aimed to evaluate the potential role of the...

In this study we address the problem of predicting the position of a moving lung tumor during respiration on the basis of external breathing signals--a technique used for beam gating, tracking, and other dynamic motion management techniques in radiation therapy. We demonstrate the use of neural network filters to correlate tumor position with external surrogate markers while simultaneously pred...

Tumors exhibit complex organization and contain a variety of cell populations. The realization that the regenerative properties of a tumor may be largely confined to a cell subpopulation (cancer stem cell) is driving a new era of anti-cancer research. Cancer stem cells from Glioblastoma Multiforme tumors express markers that are also expressed in non-cancerous neural stem cells, including nesti...