Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach

Aravinda C V; Sudeepa K B; S Pradeep; P Suraksha; Meng Lin

doi:10.3389/fdata.2024.1489020

Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach

Front Big Data. 2024 Dec 16:7:1489020. doi: 10.3389/fdata.2024.1489020. eCollection 2024.

Authors

Aravinda C V¹, Sudeepa K B¹, S Pradeep², P Suraksha³, Meng Lin⁴

Affiliations

¹ Department of Computer Science and Engineering, NITTE Mahalinga Adyantaya Memorial Institute of Technology, NITTE Deemed to Be University, Karkala, Karnataka, India.
² Department of Computer Science and Engineering, Government Engineering College, Chamarajanagar, Karnataka, India.
³ Department of Computer Science and Engineering, Vidhya Vardhaka College of Engineering, Mysore, Karnataka, India.
⁴ Department of Electronic and Computer Engineering (The Graduate School of Science and Engineering), Ritsumeikan University, Kusatsu, Shiga, Japan.

No abstract available

Keywords: COVID-19 detection; chest X-ray analysis; convolutional neural networks; data augmentation; deep learning; grad-CAM visualization; machine learning algorithms; public health informatics.

Grants and funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.