Capuchin Red Kite–optimized Swin Transformer-based Convolutional Block Attention Module for Early Diagnosis and Classification of Pneumonia
The proposed deep learning framework offers a fast, accurate, and reliable solution for automated pneumonia diagnosis, showing promise for deployment in medical imaging systems.
Authors
- Shaik Sikindar (ORCID: https://orcid.org/0009-0001-4720-3978)
- Ch. V. Raghavendran (ORCID: https://orcid.org/0000-0002-4423-9086)
- Madhavi Gudavalli (ORCID: https://orcid.org/0009-0002-8112-9211)
Institutions
- Jawaharlal Nehru Technological University, Kakinada (IN)
- Aditya Birla (India) (IN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-11-28
- DOI
- https://doi.org/10.2174/0115734056392646251021111437
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00