DLAAD-deep learning algorithms assisted diagnosis of chest disease using radiographic medical images
This system can help enhance the domain of medical imaging and establish a basis for future progress in deep-learning-based diagnostic systems for pulmonary disorders.
Authors
- Shereen Abdel-Rahman
- Elham Alzain (ORCID: https://orcid.org/0000-0002-6330-3100)
- Mosleh Hmoud Al-Adhaileh (ORCID: https://orcid.org/0000-0002-3519-1121)
- Zeyad A. T. Ahmed (ORCID: https://orcid.org/0000-0002-8562-0262)
- Sultan Ahmad (ORCID: https://orcid.org/0000-0002-3198-7974)
- Theyazn H. H. Aldhyani (ORCID: https://orcid.org/0000-0003-1822-1357)
- Shilpi Singh (ORCID: https://orcid.org/0000-0002-0731-3195)
- Bayan M. Alsharbi
- Mohammed Amin Almaiah (ORCID: https://orcid.org/0000-0003-0773-1597)
Institutions
- Lovely Professional University (IN)
- University of Jordan (JO)
- Prince Sattam Bin Abdulaziz University (SA)
- Dr. Babasaheb Ambedkar Marathwada University (IN)
- Taif University (SA)
- King Faisal University (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-07
- DOI
- https://doi.org/10.3389/fmed.2024.1511389
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 1.36