A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 13، شماره 1، خرداد 2022، صفحه 3783-3802 اصل مقاله (938.8 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6164 | ||
| نویسندگان | ||
| Rasha Helmi Nayyef؛ Mohammed S. H. Al-Tamimi* | ||
| Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Magnetic Resonance Image؛ Brain؛ Skull-stripping؛ Segmentation؛ Convolutional Neural Network؛ Feature Extraction | ||
| مراجع | ||
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