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https://dspace.univ-ouargla.dz/jspui/handle/123456789/35610
Title: | An Intelligent System for Automatic Skull Stripping of Human Brain MRI |
Authors: | Lati, Abdelhai Necib, Jihene Djaborebbi, Riane |
Keywords: | Skull stripping MRI Brain extraction Simentic segmentation Unet al gorithm |
Issue Date: | 2023 |
Publisher: | UNIVERSITY KASDI MERBAH OUARGLA |
Abstract: | Skull strapping is a critical step in medical image analysis, involving the segmentation of the brain from the surrounding skull structure. Our work describes the development of an intelligent system that automates the skull strapping process for human brain mag- netic resonance (MR) images. Automating this process has the potential to significantly save time and effort for clinicians and researchers. To achieve accurate and efficient skull strapping, our proposed system trains the Unet model which is CNN architecture on a large dataset of annotated MR images that can effectively learn the intricate features and patterns associated with the skull and brain structures. The obtained results prove the efficiency of the proposed algorithm |
URI: | https://dspace.univ-ouargla.dz/jspui/handle/123456789/35610 |
Appears in Collections: | Département d'Electronique et des Télécommunications - Master |
Files in This Item:
File | Description | Size | Format | |
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NECIB-DJABOREBBI.pdf | 5,84 MB | Adobe PDF | View/Open |
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