نتایج جستجو برای: brain mri
تعداد نتایج: 550833 فیلتر نتایج به سال:
brain mr images tissue segmentation is one of the most important parts of the clinical diagnostic tools. pixel classification methods have been frequently used in the image segmentation with two supervised and unsupervised approaches up to now. supervised segmentation methods lead to high accuracy but they need a large amount of labeled data, which is hard, expensive and slow to obtain. moreove...
background: volume estimation of brain is important for many neurological applications. it is necessary in measuring brain growth and changes in brain in normal/abnormal patients. thus, accurate brain volume measurement is very important. magnetic resonance imaging (mri) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. st...
Background: Volume estimation of brain is important for many neurological applications. It is necessary in measuring brain growth and changes in brain in normal/abnormal patients. Thus, accurate brain volume measurement is very important. Magnetic resonance imaging (MRI) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. St...
background: pantothenate kinase associated neurodegeneration (pkan) is the most prevalent type of neurodegeneration with brain iron accumulation (nbia) disorders characterized by extrapyramidal signs, and 'eye-of-the-tiger' on t2 brain magnetic resonance imaging (mri) characterized by hypointensity in globus pallidus and a hyperintensity in its core. all pkan patients have homozygous or compoun...
Gliomas account for almost 80% of primary malignant brain tumors in adults. Magnetic Resonance imaging (MRI) is still the gold standard for diagnosis of brain tumors and brain 99mTc-tetrofosmin Single Photon Emission Computed Tomography (99mTc-tetrofosmin-SPECT) has been established as a useful tool for their evaluation. Fluorine-18–2-fluoro-2-deoxy-d-glucose positron emi...
Aims: Cancerous brain tumors are among the most dangerous diseases that lower the quality of life of people for many years. Their detection in the early stages paves the way for the proper treatment. The present study aimed to present a two-dimensional Convolutional Neural Network (CNN) for detecting brain tumors under Magnetic Resonance Imaging (MRI) using the deep learning method. Methods & ...
Background: Early diagnosis of brain tumors has significant effect on the treatment process. Brain metastatic tumors are usually diagnosed following the neurological symptoms in patients or incidentally after Computerized Tomography (CT) scan and Magnetic Resonance Imaging (MRI) requests of the brain. Objectives: Implementation of a new method for being informed about the origin of brain tumors...
background: early diagnosis of brain tumors has significant effect on the treatment process. brain metastatic tumors are usually diagnosed following the neurological symptoms in patients or incidentally after computerized tomography (ct) scan and magnetic resonance imaging (mri) requests of the brain. objectives: implementation of a new method for being informed about the origin of brain tumors...
abstract background: a tumefactive lesion of central nervous system (cns) is defined as a mass-like lesion with a size greater than 2 cm in brain (magnetic resonance imaging) mri. neuroimaging may help to distinguish the nature of a tumefactive lesion and therefore can prevent an unnecessary brain biopsy. method: in this paper, we have emphasized on determining the nature of a cns tumefactive l...
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