DeepCOVIDNet-CXR: deep learning strategies for identifying COVID-19 on enhanced chest X-rays
Our study is one of the pioneering approaches that analyses 3615 COVID-19 cases and specifies the most responsible AHE parameters for ConvNet architectures in the multi-case classification.
Authors
- Gökhan Altan (ORCID: https://orcid.org/0000-0001-7883-3131)
- Süleyman Serhan Narlı
Institutions
- İskenderun Technical University (TR)
Publication Details
- Journal
- Biomedizinische Technik/Biomedical Engineering
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1515/bmt-2021-0272
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00