Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network
The proposed SRAN with self-residual attention provided a promising solution for biometric identification through chest X-ray imaging, showcasing its potential for accurate and reliable identity verification where traditional biometric approaches may fall short, especially in postmortem cases or forensic investigations. This methodology could play a transformative role in both biometric security and healthcare applications, offering a robust alternative modality for identity verification.
Authors
- Neesrin Ali Kurdi (ORCID: https://orcid.org/0009-0005-8890-9474)
- Akram Bennour (ORCID: https://orcid.org/0000-0002-3185-8806)
- Mohammed Al-Sarem (ORCID: https://orcid.org/0000-0001-7172-8224)
- Samir Hammami (ORCID: https://orcid.org/0000-0002-4003-5705)
- Hazem Farah
Institutions
- Taibah University (SA)
- Université Larbi Tébessi (DZ)
- Dhofar University (OM)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-11-25
- DOI
- https://doi.org/10.3390/diagnostics14232655
- Citations
- 5
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 2.02