Brain tumors are deadly but become deadliest because of delayed and inefficient diagnosis process. Large variations in tumor types also instigate additional complexity. Machine vision brain addresses the problem. This research’s objective was to develop a classification model based on machine techniques using Magnetic Resonance Imaging (MRI). For this purpose, novel hybrid-brain-tumor-classific...

Brain abscesses and brain tumors may have similar clinical presentations. For example, only 50% brain abscess patients have fever, which could be masked by corticosteroid therapy. Also, the differential diagnosis of brain abscesses versus cystic or necrotic tumors may be difficult based on computed tomography (CT) or magnetic resonance (MR) imaging findings. However, the strategies of managemen...

    Abstract   The Intraparenchymal schwannomas are very rare tumors with only 52 reported   cases . We describe a 38 years old man with eight months history of poorly controlled   seizures despite of medical therapy. On brain CT scan a 1.5 x 1.5 cm hypodense enhancing lesion was seen in right posterior-inferior frontal lobe. On brain MRI the lesion   was hypointense in T1 and hyperintense in T...

A glioma is a type of intra-axial brain tumor originating from the glial cells. Making up about one-third all tumors, timely diagnosis alongside correct grading and subsequent therapy planning crucial. Magnetic Resonance Imaging an established method for tumors. Arterial Spin Labeling (ASL) Perfusion allows non-contrast enhanced visualization hyper- or hypoperfusion. Commonly, cell swelling occ...

Brain tumors can cause serious health complications and lead to death if not detected accurately. Therefore, early-stage detection of brain accurate classification types play a major role in diagnosis. Recently, deep convolutional neural network (DCNN) based approaches using magnetic resonance imaging (MRI) images have shown excellent performance tasks. However, the accuracy DCNN architectures ...

Brain tumors are one of the most dangerous diseases that continue to be threatened worldwide.As a result, diagnosis and treatment in early stages very important this case. As Furthermore, determination correct nature tumor is sensitive process patient .In recent years, with advancement deep learning solutions computer vision, such as image segmentation, classification, object detection, promisi...

introduction: screening of newborns with seizure, who have curable pathologic brain findings, might be able to improve their final outcome by accelerating treatment intervention. the present study aimed to evaluate the brain ultrasonography findings of newborns hospitalized with complaint of seizure. methods: the present cross-sectional study designed to evaluate brain ultrasonography findings ...