An automated multimodal white matter hyperintensity identification for MRI images using image processing
White matter hyperintensities (WMH) are small regions of high signal intensity that are observable on the white matter region of the brain through magnetic resonance imaging images. Generally, the medical expert conducts a white matter hyperintensities analysis to investigate brain tissue abnormalit...
الحاوية / القاعدة: | 2017 International Conference on Electrical, Electronics and System Engineering, ICEESE 2017 |
---|---|
المؤلف الرئيسي: | 2-s2.0-85050494648 |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
Institute of Electrical and Electronics Engineers Inc.
2017
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050494648&doi=10.1109%2fICEESE.2017.8298386&partnerID=40&md5=350129d32821ca4ca036832fcfe376fd |
مواد مشابهة
-
Classification and grading of white matter hyperintensity severity by using automated detection
بواسطة: 2-s2.0-85050380799
منشور في: (2017) -
Assessing intensity of white matter hyperintensity and normal appearing white matter in healthy adults
بواسطة: 2-s2.0-85015708870
منشور في: (2016) -
New image enhancement technique for WMH segmentation of MRI FLAIR image
بواسطة: 2-s2.0-84992147467
منشور في: (2016) -
Image Fusion for Single-Trait Multimodal Biometrics: A Brief Review
بواسطة: 2-s2.0-85145433170
منشور في: (2022) -
Simulation of Three-Dimensional Images and Estimation of Lung Volumes from Two-Dimensional MRI and CT Images
بواسطة: 2-s2.0-85142439330
منشور في: (2022)