An Explainable Artificial Intelligence model in the assessment of Brain MRI Lesions in Multiple Sclerosis using Amplitude Modulation – Frequency Modulation multi-scale feature sets-Reference-Cited by-同舟云学术

An Explainable Artificial Intelligence model in the assessment of Brain MRI Lesions in Multiple Sclerosis using Amplitude Modulation – Frequency Modulation multi-scale feature sets

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 24th International Conference on Digital Signal Processing (DSP)
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Author:

Nicolaou Andria¹,Kakas Antonis¹,Pattichis Constantinos S.¹,Pattichis Marios S.²,Fotso Kevin²,Loizou Christos P.³,Pantzaris Marios⁴

Affiliation:

1. University of Cyprus,Department of Computer Science,Nicosia,Cyprus

2. University of New Mexico,Department of Electrical Engineering, and Computer Engineering,USA

3. Cyprus University of Technology,Department of Electrical Engineering, and Computer Engineering and Informatics,Limassol,Cyprus

4. Cyprus Institute of Neurology and Genetics,Nicosia,Cyprus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10167864/10167764/10167888.pdf?arnumber=10167888

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5. Scikit-learn: Machine learning in Python;pedregosa;J Mach Learn Res,2013

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