Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets
This research demonstrates the potential of combining advanced deep learning techniques with explainability to improve diagnostic accuracy and trust in AI applications within healthcare.
Authors
- Shtwai Alsubai (ORCID: https://orcid.org/0000-0002-6584-7400)
- Ahmad Almadhor (ORCID: https://orcid.org/0000-0002-8665-1669)
- Stephen Ojo (ORCID: https://orcid.org/0000-0002-2383-621X)
- Abdullah Al Hejaili (ORCID: https://orcid.org/0000-0002-8388-4723)
- Jamel Baili (ORCID: https://orcid.org/0000-0001-5564-6114)
- Mohamed Arselene Ayari (ORCID: https://orcid.org/0000-0002-8663-886X)
- Thomas I. Nathaniel
Institutions
- Northern Border University (SA)
- Prince Sattam Bin Abdulaziz University (SA)
- University of South Carolina (US)
- Jouf University (SA)
- University of Tabuk (SA)
- King Khalid University (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fmed.2025.1618550
- Citations
- 6
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 5.05
Funders
- King Khalid University
- Northern Border University