Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach
Saved in:
| Main Authors: | Aravinda C. V, Sudeepa K. B, S. Pradeep, P. Suraksha, Meng Lin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Series: | Frontiers in Big Data |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2024.1489020/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced tuberculosis detection using Vision Transformers and explainable AI with a Grad-CAM approach on chest X-rays
by: K. Vanitha, et al.
Published: (2025-03-01) -
Combining Convolutional Neural Network (CNN) and Grad-CAM for Parkinson’s Disease Prediction and Visual Explanation
by: Reyhaneh Dehghan, et al.
Published: (2024-09-01) -
Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM
by: Vladyslav Yavtukhovskyi, et al.
Published: (2025-06-01) -
Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Suxing Liu, et al.
Published: (2024-01-01) -
Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization
by: Castaka Agus Sugianto, et al.
Published: (2025-06-01)