Name
Abstract | ||
|---|---|---|
In this paper, we will present the system that we designed to track The Alzheimer disease's evolution throughout time using Magnetic Resonance Imaging (MRI) images. The AD makes visible changes in brain structures. We aim to identify the patient category as AD or Normal Control (NC) subject. The paper's contribution relies on realizing a method for longitudinal monitoring of a subject. Our method contains two parts: the first step allows the analysis of two MRI of the same patient in two different times to determine changes in the hippocampus texture descriptors, which are used to move to the second step which is the classification using the SVM method (Support Vector machine) based on a preliminary phase i.e. the learning phase. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-52941-7_22 | PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS 2016) |
Keywords | Field | DocType |
Alzheimer Diseases (AD),Magnetic Resonance Imaging (MRI),Normal Control (NC),Support Vector machine (SVM) | Pattern recognition,Alzheimer's disease,Computer science,Support vector machine,Artificial intelligence,Hippocampus,Magnetic resonance imaging | Conference |
Volume | ISSN | Citations |
552 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amira Ben Rabeh | 1 | 0 | 0.34 |
| Faouzi Benzarti | 2 | 15 | 8.94 |
| Hamid Amiri | 3 | 86 | 19.36 |