Hybrid classifier for brain abnormality detection in brain MRI

Diagnosis of an Abnormality in Brain MRI

Seyed-Ahmad Hosseini*, MD; Mahmoud Reza Ashrafi, MD; Morteza Heidari, MD Department of Pediatrics, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran Received: Sep 24, 2013; Accepted: Apr 13, 2014; First Online Available: Aug 12, 2014 A 5 year old boy was admitted due to insidious onset of fever, lethargy, malaise and oral lesions fro...

Automated Computer Aided Diagnosis System for Brain Abnormality Detection and Analysis from Mri of Brain

Accurate measurement of clot thickness, hematoma area, and location on MRI scan have been successfully executed which is important because of need for accurate and rapid diagnosis and treatment, prompt transfer of the patient to a facility capable of MRI scanning and neurological intervention is necessary. Automated systems for analyzing and classifying medical images have gained a great level ...

Brain MRI Findings in Tramadol Poisoning

A Two-Dimensional Convolutional Neural Network for Brain Tumor Detection From MRI

Aims: Cancerous brain tumors are among the most dangerous diseases that lower the quality of life of people for many years. Their detection in the early stages paves the way for the proper treatment. The present study aimed to present a two-dimensional Convolutional Neural Network (CNN) for detecting brain tumors under Magnetic Resonance Imaging (MRI) using the deep learning method. Methods & ...

A brain abnormality detection and tissue segmentation technique by using dual mode classifier

In the analysis of brain Magnetic Resonance Images (MRI), tissue classification is an important issue. Many works have been done to classify the brain tissues from the brain MRI. This paper presents a new technique to classify the brain MRI images and to perform tissue classification by using Dual Mode Classifier (DMC). Initially, the brain MRI images are obtained from the brain databases and f...