نتایج جستجو برای: Support Vector Machine Glioblastoma Multiforme MagneticResonance Spectroscopy
تعداد نتایج: 1218563 فیلتر نتایج به سال:
Introduction: The brain tumor is an abnormal growth of tissue in the brain, which is one of the most important challenges in neurology. Brain tumors have different types. Some brain tumors are benign and some brain tumors are cancerous and malignant. Glioblastoma Multiforme (GBM) is the most common and deadliest malignant brain tumor in adults. The average survival rate for peo...
PURPOSE Ensemble segmentation methods combine the segmentation results of individual methods into a final one, with the goal of achieving greater robustness and accuracy. The goal of this study was to develop an ensemble segmentation framework for glioblastoma multiforme tumors on single-channel T1w postcontrast magnetic resonance images. METHODS Three base methods were evaluated in the frame...
داده کاوی یکی از شاخه های مطرح علمی است که در سالهای اخیر توسعه فراوانی یافته است. بنابر گزارش دانشگاه mit، دانش نوین داده کاوی یکی از ده دانش در حال توسعه ای است که دهه آینده را با انقلاب تکنولوژیکی مواجه می سازد. دسته بندی داده ها، از مهمترین مباحث مطرح در داده کاوی است. در خصوص دسته-بندی داده ها روش های گوناگونی ارائه گردیده است که ماشین بردار پشتیبان(svm) از مهمترین آنها است و از آنجایی که ...
mirnas are endogenous small noncoding rnas that can regulate many cellular processes. different expression levels of several mirnas have been detected in glioblastomas. function of mirnas and targets have been well studied in recent years. according to these studies, the role of mirnas in glioblastoma pathogenesis have been defined. mirnas have affected many processes in gbm such as apoptosis, ...
a young known case of multiple sclerosis was evaluated with chief complaint of gradually progressed left lower limb weakness over 3 weeks. pathologic examination of a mass in brain magnetic resonance imaging confirmed the diagnosis of glioblastoma multiforme (gbm). given the importance of the definite diagnosis of malignant glioma and its effect on patient’s management, gbm should be considered...
PURPOSE Glioblastoma multiforme is a deadly primary brain cancer. Because the tumor kills due to recurrences, we tested the hypothesis that a new treatment would lead to immunological memory in a rat model of recurrent glioblastoma multiforme. EXPERIMENTAL DESIGN We developed a combined treatment using an adenovirus (Ad) expressing fms-like tyrosine kinase-3 ligand (Flt3L), which induces the ...
ABSTRACT: Glioblastoma multiforme is the most malignant primary brain tumor .It usually occurs in the 5th and 6th decades of life and is rare in childern. In this paper a case of glioblastoma multiforme is reported in a ten year - old child who presented with two week's history of headache with no neurological defect.C.T scan revealed å right frontal mass with massive surrounding oedema. He w...
PURPOSE To determine whether radiation necrosis can be differentiated from residual/recurrent tumor by proton MR spectroscopy. METHODS We studied the effects of interstitial brachytherapy on the brains of healthy monkeys and in humans with glioblastoma multiforme. The effects of radiation therapy on normal brain tissue in monkeys were assessed with sequential proton MR spectroscopic studies 1...
this paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. in this method, mammograms are segmented into regions of interest (roi) in order to extract features including geometrical and contourlet coefficients. the extracted features benefit from...
در این پایان نامه یک شبکه عصبیltrfootnote{neural network} تک لایه بازگشتی برای ماشین بردار پشتیبانیltrfootnote{support vector machine} (svm) در الگوی یادگیری طبقه بندی و رگرسیون را ارائه می کنیم. اولین مساله یادگیری svm تبدیل به فرمول معادل آن، و پس از آن یک لایه شبکه های عصبی بازگشتی برای یادگیری svm پیشنهاد شده است. شبکه عصبی پیشنهادی برای به دست آوردن راه حل بهینه از طبقه بندی بردا...
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