نتایج جستجو برای: support vector machine glioblastoma multiforme magneticresonance spectroscopy
تعداد نتایج: 1218563 فیلتر نتایج به سال:
Background: Peritoneal dialysis is one of the most commonly used treatment methods for the patients with end stage renal failure. In recent years, the mortality rate of patients under this treatment has decreased; however, long-term survival is still an important challenge for health systems. The present study aimed to predict the survival of continuous ambulatory peritoneal dialysis patients. ...
Glioblastoma multiforme, a neoplasm with variable histological and biological features, is characterized by diverse imaging features, including highly heterogeneous enhancement. This reflects variable disruption of the blood brain barrier and inherent differences in the vascularity of the tumor. Experience in treating malignant glioma with antiangiogenic drugs is growing, and the most commonly ...
BACKGROUND Previous studies have shown that intratumoral hemorrhage is a common finding in glioblastoma multi-forme, but is rarely observed in primary central nervous system lymphoma. Our aim was to reevaluate whether intratumoral hemorrhage observed on T2-weighted imaging (T2WI) as gross intratumoral hemorrhage and on susceptibility-weighted imaging as intratumoral susceptibility signal can di...
Glioblastoma multiforme are highly malignant brain tumours with frequent genetic and epigenetic alterations. The poor clinical outcome of these tumours necessitates the development of new treatment options. Immunotherapies for glioblastoma multiforme including PD1/PD-L1 inhibition are currently tested in ongoing clinical trials. The purpose of this study was to investigate the molecular backgro...
We purpose a hybrid approach for classification of brain tissues in magnetic resonance images (MRI) based on genetic algorithm (GA) and support vector machine (SVM). A wavelet based texture feature set is derived. The optimal texture features are extracted from normal and tumor regions by using spatial gray level dependence method (SGLDM). These features are given as input to the SVM classifier...
This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multiscale multi-channel three dimensional (3D) segmentation algorithm providing a rich feature vocabulary together with a support vector machine (SVM) based classifier. The segmentation produces a full hierarchy of segments, express...
Glioblastoma multiforme (GBM) is the most aggressive type of human primary brain tumor. The standard treatment protocol includes radiotherapy in combination with temozolomide (TMZ). Despite advances in GBM treatment, the survival time of patients diagnosed with glioma is 14.5 months. Regarding tumor biology, various types of cancer cell overexpress the ether à go-go 1 (Eag1) potassium channel. ...
In the past decades, people are trying to search the way to analyze the infrared spectra. Along with the computerization of the commercialized infrared spectroscopy, there are many computer-assisted identification methods of infrared spectroscopy. For decades, people have been exploring the empirical analysis of infrared spectroscopy. These methods can be divided into three categories: expert s...
امضا یکی از شاخص های تشخیص هویت و بازشناسی امضا یکی از مسایل مهم در تشخیص الگو است. علیرغم تحقیقات فراوانی که در زمینه بازشناسی امضا صورت گرفته است، تحقیقاتی که در زمینه تشخیص امضا بر روی چک های بانکی انجام شده است در جهان و ایران محدود است. چک های بانکی دارای قسمت های مختلف هستند و پس زمینه و نویز فراوانی دارند و نیز در بانک های ایران طرح چک ثابتی موجود نمی باشد و امضاهایی که بر روی برگه چک ثب...
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