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International Journal of Nonlinear Analysis and Applications، جلد ۱۳، شماره ۱، صفحات ۳۷۸۳-۳۸۰۲
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عنوان انگلیسی A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques
چکیده انگلیسی مقاله It is crucial to remember that the brain is a part of the body responsible for a wide range of sophisticated bodily activities. Brain imaging can be used to diagnose a wide range of brain problems, including brain tumours, strokes, paralysis, and other neurological conditions. An imaging technique known as Magnetic Resonance Imaging (MRI) is a relatively new method that can classify and categorize the brain non-brain tissues through high-resolution imaging's. For automated brain picture segmentation and analysis, the existence of these non-brain tissues is seen as a critical roadblock to success. For quantitative morphometric examinations of MR brain images, skull-stripping is often required. Skull-stripping procedures are described in this work, as well as a summary of the most recent research on skull-stripping.
کلیدواژه‌های انگلیسی مقاله Magnetic Resonance Image, Brain, Skull-stripping, Segmentation, Convolutional Neural Network, feature extraction
نویسندگان مقاله Rasha Helmi Nayyef |
Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

Mohammed S. H. Al-Tamimi |
Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_6164_a424472b6e480edb751a0c3441109047.pdf
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