نتایج جستجو برای: support vector machine glioblastoma multiforme magneticresonance spectroscopy
تعداد نتایج: 1218563 فیلتر نتایج به سال:
Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...
We report the rare occurrence of an opticochiasmatic glioblastoma multiforme 6 years following conventional radiotherapy for Cushing's disease. This article highlights the risks of collateral damage to the optic apparatus when irradiating the sellar region.
In this chapter, we discuss two possible ways of improving the performance of the SVM, using geometric methods. The first adapts the kernel by magnifying the Riemannian metric in the neighborhood of the boundary, thereby increasing separation between the classes. The second method is concerned with optimal location of the separating boundary, given that the distributions of data on either side ...
BACKGROUND Glioblastoma multiforme is the most common and most aggressive type of primary brain tumor, accounting for 52% of all primary brain tumor cases and 20% of all intracranial tumors. Recently, evidence for a viral cause has been postulated, possibly SV40 or more likely cytomegalovirus (CMV). One report indicated that 80% of patients with newly diagnosed glioblastoma multiforme have dete...
X. CAO{{, J. CHEN*{, B. MATSUSHITA§, H. IMURA" and L. WANG{{ {Key Laboratory of Environment Change and Natural Disaster, Ministry of Education of China, College of Resource Science and Technology, Beijing Normal University, Beijing, 100875, China {Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan §Graduate School of Life and Environmental Sciences, University of Tsukuba,...
EYE DETECTION USING DISCRIMINATORY FEATURES AND AN EFFICIENT SUPPORT VECTOR MACHINE
Differentiating lymphomas and glioblastomas is important for proper treatment planning. A number of works have been proposed but there are still some problems. For example, many works depend on thresholding a single feature value, which is susceptible to noise. In other cases, experienced observers are required to extract the feature values or to provide some interactions with the system. Even ...
Accurate estimation of the sediment volume carried by the rivers is important in water related projects and recognition and suggestion proper methods for estimating suspended sediment goals which should be conducted by related researches. Among the methods that have been recently used to model suspended sediment, machine learning based methods such as decision trees, support vector machine, and...
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