Medical imaging is extremely important in the domain of medicine. Image classification now utilized to distinguish aberrant tissues from healthy tissue brain imaging. The tumor identified MRI images by using some techniques, where area as well size detected. Automatic detection efficient and time- saving, assisting neurologists diagnosis. Tumors can increase risk cancer, which most common cause...

Abstract Brain and central nervous system tumors represent the most common childhood solid tumors. Comprising 21% of all pediatric cancers, they remain leading cause cancer-related mortality morbidity in childhood. Due to advances neurosurgical technique, radiotherapy use combination therapy, survival rates have generally increased. However, by lesion itself, its surgical removal subsequent tre...

BACKGROUND Improvements in brain tumor treatments have led to an increase in the number of young women with brain tumors who are now considering pregnancy. The aim of this study is to evaluate the influence of pregnancy on brain tumor biology. METHODS In this institutional review board-approved retrospective study, we searched the institution's database for patients with glial brain tumors wh...

Malignancy is one of the most frequent cause of death in children -in U.S. it is the second common cause (second to Tranma). Between childhood malignancy leukemia is by far the mO'st frequent one and C.N.S. tumors take the second place -abdominal tumor re­main the third common cause of children's malignancy -Retroperitoneal space with organs like, kidney, adrenal gland, sympatheti nervous syste...

Recently, Deep learning algorithms, particularly Convolutional Neural Networks (CNNs), have been applied extensively for image recognition and classification tasks, with successful results in the field of medicine, such as medical analysis. Radiologists a hard time categorizing this lethal illness since brain tumors include variety tumor cells. Lately, methods based on computer-aided diagnostic...

Abstract Cancer is the second leading cause of death worldwide. Brain tumors count for one out every four cancer deaths. Providing an accurate and timely diagnosis can result in treatments. In recent years, rapid development image classification has facilitated computer-aided diagnosis. The convolutional neural network (CNN) most widely used models classifying images. However, its effectiveness...

Abstract INTRODUCTION Li Fraumeni Syndrome (LFS) is a rare autosomal dominant tumor predisposition syndrome caused by germline alterations of the TP53. Brain tumors are included in LFS core cancers. Choroid plexus carcinomas and medulloblastomas tend to occur pediatric patients, while gliomas adult patients. There few previous reports about arising setting LFS. Here, we report clinical molecula...

Gliomas are histologically and genetically heterogeneous tumors. However, classical histopathological typing often ignores the high heterogeneity of tumors thus cannot meet requirements precise pathological diagnosis. Here, proximity-anchored in situ spectral coding amplification (ProxISCA) is proposed for multiplexed imaging RNA mutations, enabling visual brain gliomas with different grades at...

Radiation necrosis of the brain (BRN) is most frequent and dangerous iatrogenic complication radiation therapy tumors non-tumor diseases base skull. The risk its development increases with an increase in amount radiation, single total doses due to synergy action adjuvant chemotherapy used. pathogenesis BRN based on damage microcirculatory bed tumor surrounding tissues edema impaired trophic neu...