Enhancing multi-class neurodegenerative disease classification using deep learning and explainable local interpretable model-agnostic explanations
The results demonstrate that these architectures, in combination with XAI, facilitate early and precise diagnosis, thereby contributing to reducing the global burden of neurodegenerative diseases.
Authors
- Abdullah Alqahtani (ORCID: https://orcid.org/0000-0002-2859-1629)
- Ahmad Almadhor (ORCID: https://orcid.org/0000-0002-8665-1669)
- Abdullah Al Hejaili (ORCID: https://orcid.org/0000-0002-8388-4723)
- Jamel Baili (ORCID: https://orcid.org/0000-0001-5564-6114)
- Tai-hoon Kim
Institutions
- Chonnam National University (KR)
- Prince Sattam Bin Abdulaziz University (SA)
- Jouf University (SA)
- University of Tabuk (SA)
- King Khalid University (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-04-01
- DOI
- https://doi.org/10.3389/fmed.2025.1562629
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48