Automated feature extraction on brain MRI images for predicting multiple sclerosis patient disability
Many past studies had used multiple MRI scans and protocols to automate the prediction of MS patients’ disability. They focused on using non-raw MRI data including clinical, radiological, and general patient information with different study durations. Furthermore, they were using manual and semi-aut...
Saved in:
Main Author: | M. Muslim, Ali |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/114906/1/114906.pdf http://psasir.upm.edu.my/id/eprint/114906/ http://ethesis.upm.edu.my/id/eprint/18206 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated feature extraction for predicting multiple sclerosis patient disability using brain MRI
by: Muslim, Ali M., et al.
Published: (2022) -
The Syllabus Enhancement for Medical Imaging in Biomedical Electronics
by: Saidatul, A., et al.
Published: (2010) -
Medical image database system
by: Muhammad Helmi, Aini
Published: (2016) -
Image Pre-processing for Differential Diagnosis of Multiple Sclerosis using Brain MRI
by: Memon, Khuhed, et al.
Published: (2023) -
Role of 3D double inversion recovery in detecting multiple sclerosis using 3 tesla MRI system in Saudi Arabia
by: Almutairi, Abdullah Dhaifallah N
Published: (2021)