Now a day’s brain tumor detection is an important matter in computer aided diagnosis for medical applications. The classification process and plays vital role to the tumors. existing method concentrates on detection, features extraction classification. Though traditional Algorithms suffered from less accuracy takes more time execution. To enhance premature stage classification, main intension o...

Multimodal MRI has an important contribution to cancer research. This technique is completely non-invasive and non-ionizing, it provides major information for diagnosis, and answers the questions of therapists before, during, and after treatment. Hence, in this paper we review the interest of these MRI modalities and their impact on the diagnosis, during and after therapeutic care of brain tumo...

Relevance: Brain tumors are children’s most common solid tumors, with medulloblastomas accounting for almost 20%. The Electronic
 Registry of Oncological Patients the Republic Kazakhstan (RK) reports 27 morphologically verified cases medulloblastoma in
 2021, 18 them in children (66.6%).
 aim was to show feasibility conducting a molecular genetic study clarify diagnosis brain usi...

Currently, brain tumors are diagnosed based on clinical suspicion and neuroimaging results. Histological analysis is the only method that certifies diagnosis establishes prognosis. A number of studies suggest perturbed iron metabolism increased ferritin levels part changes associated with tumorigenesis. Our study’s aim to evaluate serum in a series patients establish if this protein could play ...

Corresponding Author: Seddighi A. MD Shohada Tajrish Hospital, Functional Neurosurgery Research Center of ShohadaTajrishHospital Tehran, Iran. Tel: +982188265188 Cell Phone: +98 9121852917 Email: [email protected] Abstract Objective Primary brain tumors are the most common solid neoplasms of childhood, representing 20% of all pediatric tumors. The best current estimates place the inciden...

Brain tumors are one of the deadliest cancers in world. Researchers have conducted a lot research work on brain tumor segmentation with good performance due to rapid development deep learning for assisting doctors diagnosis and treatment. However, most these methods cannot fully combine multiple feature information their performances need be improved. This study developed novel network fusing l...

Early detection of brain tumors is critical for enhancing treatment options and extending patient survival. Magnetic resonance imaging (MRI) scanning gives more detailed information, such as greater contrast clarity than any other method. Manually dividing from many MRI images collected in clinical practice cancer diagnosis a tough time-consuming task. Tumors scans the can be discovered using a...

Many studies have been focused on cytogenetic and molecular genetic defects in brain tumors; therefore the role of ATM as a tumor suppressor gene in these tumors is poorly considered. In this study mutation analysis of exon 19 and 39 of ATM gene and P53 accumulation were investigated by PCR-SSCP, sequencing, and flow cytometry . Four polymorphisms including D1853N, IVS 38-8 T?C, F858L, P872T we...