Classification of High-Grade Glioma into Tumor and Nontumor Components Using Support Vector Machine
نویسندگان
چکیده
منابع مشابه
Classification of High-Grade Glioma into Tumor and Nontumor Components Using Support Vector Machine.
BACKGROUND AND PURPOSE Current imaging assessment of high-grade brain tumors relies on the Response Assessment in Neuro-Oncology criteria, which measure gross volume of enhancing and nonenhancing lesions from conventional MRI sequences. These assessments may fail to reliably distinguish tumor and nontumor. This study aimed to classify enhancing and nonenhancing lesion areas into tumor-versus-no...
متن کاملHeart Rate Variability Classification using Support Vector Machine and Genetic Algorithm
Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...
متن کاملSupport Vector Machine Based Facies Classification Using Seismic Attributes in an Oil Field of Iran
Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis has been widely investigated through unsupervised-classification-based studies, there are few cases...
متن کاملClassification of Arrhythmias Using Support Vector Machine
Detection of ventricular fibrillation (VF) and hasty ventricular tachycardia (VT) is crucial for the success of the defibrillation analysis. The algorithm that combines ECG parameters with Multicast SVM to categorize VF/shockable arrhythmias has been offered. The multicast SVM learning algorithms can increase the effectiveness for the exposure of lifethreatening arrhythmias. FS methods might he...
متن کاملHigh performance of the support vector machine in classifying hyperspectral data using a limited dataset
To prospect mineral deposits at regional scale, recognition and classification of hydrothermal alteration zones using remote sensing data is a popular strategy. Due to the large number of spectral bands, classification of the hyperspectral data may be negatively affected by the Hughes phenomenon. A practical way to handle the Hughes problem is preparing a lot of training samples until the size ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Neuroradiology
سال: 2017
ISSN: 0195-6108,1936-959X
DOI: 10.3174/ajnr.a5127