Convolutional Neural Network–Vision Transformer Architecture with Gated Control Mechanism and Multi-Scale Fusion for Enhanced Pulmonary Disease Classification
Through extensive experiments and ablation studies, we demonstrated the effectiveness of our approach in improving the medical image classification performance, while achieving good calibration results. This hybrid approach offers a promising framework for reliable and accurate disease diagnosis in medical imaging.
Authors
- Xiaopeng Yang (ORCID: https://orcid.org/0000-0002-5180-109X)
- Okpala Chibuike
Institutions
- Handong Global University (KR)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-12-12
- DOI
- https://doi.org/10.3390/diagnostics14242790
- Citations
- 16
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 6.47
Funders
- National Research Foundation of Korea