Classification of Pneumonia via a Hybrid ZFNet-Quantum Neural Network Using a Chest X-ray Dataset
This approach is an efficient and automated method for detecting pneumonia and could significantly enhance outcome measures related to the speed and accuracy of the network in the clinical and healthcare sectors.
Authors
- Fatma Mallek
- Muhammad Tariq Sadiq (ORCID: https://orcid.org/0000-0002-7410-5951)
- Ateeq Ur Rehman (ORCID: https://orcid.org/0000-0001-5203-0621)
- Tayyaba Shahwar
- Habib Hamam (ORCID: https://orcid.org/0000-0002-5320-1012)
Institutions
- University of Essex (GB)
- Gachon University (KR)
- Université de Moncton (CA)
- University of Johannesburg (ZA)
- Superior University (PK)
- Spectrum Research (United States) (US)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2024-08-26
- DOI
- https://doi.org/10.2174/0115734056317489240808094924
- Citations
- 7
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 2.83