The main objective of this paper is to propose a new predictive approach of the multiple sclerosis lesions evolution's in order to computerise the daily routine ...
The main objective of this paper is to propose a new predictive approach of the multiple sclerosis lesions evolution's in order to computerise the daily routine ...
Abstract— The diagnosis, evaluation, and treatment of multiple sclerosis are based essentially on a visual analysis of brain MR-Images.
Predictive Approach of multiple sclerosis MR-Lesions evolution based on chaotic attributes. C Dachraoui, A Mouelhi, C Drissi, S Labidi. 2020 7th International ...
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In this paper, we present a new theoretical model from a viewpoint of complex system with chaos model to reproduce and explain the non-linear clinical and ...
We believe that specific information about the histopathologic evolution of a lesion may be extracted not only from contrast-enhanced but also from nonenhanced.
Missing: Predictive Chaotic
Sep 3, 2021 · The main objective of this paper is to propose an approach based on chaos theory to define the clinical characteristics for lesion progression, ...
AI-based model for automatic identification of multiple sclerosis ...
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May 27, 2024 · This paper aims to develop an AI model using an improved sea-horse optimizer (SHO) algorithm 27 to differentiate between MS and healthy MRI-scanned brains.
Missing: Attributes. | Show results with:Attributes.
These nonconventional MRI-based measures better assess the serial changes in newly forming lesions and improve our understanding of the relationship between ...
Missing: Chaotic | Show results with:Chaotic
In this section, we described our CNN model to identify MS by using the presence of lesions from FLAIR brain MRI. A general CNN model consists of convolution, ...
Missing: Attributes. | Show results with:Attributes.