Brain Tumor detection using Convolutional Neural Network (CNN) is used to discover and classify the types of Tumor. Over a amount years, many researchers are researched planned ways throughout this area. We’ve proposed technique that’s capable detecting classifying different tumor. For tumor we have MRI because images gives complete structure human brain, without any operation it scans brain he...

introduction: the medical applications of ultrasound on human brain are highly limited by the phase and amplitude aberrations induced by the heterogeneities of the skull. however, it has been shown that time reversing coupled with amplitude compensation can overcome these aberrations. in this work, a model for 2d simulation of the time reversal mirror technique is proposed to study the possibil...

Introduction: Due to nuclear interactions between the tissues and high-energy protons, the particles, including neutrons, positrons, and photons arise during proton therapy. This study aimed at investigating the dose distribution of proton and secondary particles, such as positrons, neutrons, and photons using the Monte Carlo method. Material and Methods:<...

nowadays brain tumors remain as a significant cause of morbidity and mortality and are often treatment refractory. the grading of brain tumor has an important implication in clinical management. currently, magnetic resonance spectroscopy (mrs) is an important modality in evaluating and grading brain tumors. the aim of this study is  evaluation of metabolites in the differentiation of brain tumo...

Accurate segmentation of brain tumor plays a key role in the diagnosis of brain tumor. Preset and precise diagnosis of Magnetic Resonance Imaging (MRI) brain tumor is enormously significant for medical analysis. During the last years many methods have been proposed. In this research, a novel fuzzy approach has been proposed to classify a given MRI brain image as normal or cancer label and the i...