Fusion of CNN and feature extraction methods for multiple sclerosis classification

Bouthaina Souid; Samah Yahia; Tahani Bouchrika; Olfa Jemai

doi:10.1117/12.2679706

7 June 2023 Fusion of CNN and feature extraction methods for multiple sclerosis classification

Bouthaina Souid, Samah Yahia, Tahani Bouchrika, Olfa Jemai

Proceedings Volume 12701, Fifteenth International Conference on Machine Vision (ICMV 2022); 1270117 (2023) https://doi.org/10.1117/12.2679706
Event: Fifteenth International Conference on Machine Vision (ICMV 2022), 2022, Rome, Italy

Abstract

Multiple sclerosis (MS) is a chronic autoimmune inflammatory disease that damages the central nervous system by causing small lesions in the brain. In this study, we present the fusion of four features extraction methods such as the 3D Local Binary Pattern (3D-LBP), 3D Decimal Descriptor Patterns (3D-DDP), Local Binary Pattern from Three Orthogonal Planes (LBP-TOP) and Decimal Descriptor Patterns from Three Orthogonal Planes (DDP-TOP) with Convolutional Neural Network (CNN) for MS classification using three 3D MRI sequences datasets T1, T2 and PD from 3D BrainWeb dataset. We implement twelve CNN models and apply each method with each of the CNN models on T1, T2 then PD MRI sequences. The experimental results demonstrate that 3D-DDP and DDP-TOP methods are the most robust and, for the contrast change effect of MRI sequences on the classification results, T2 yields the best performance.

Citation Download Citation

Bouthaina Souid, Samah Yahia, Tahani Bouchrika, and Olfa Jemai "Fusion of CNN and feature extraction methods for multiple sclerosis classification", Proc. SPIE 12701, Fifteenth International Conference on Machine Vision (ICMV 2022), 1270117 (7 June 2023); https://doi.org/10.1117/12.2679706

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available