Search Results for author:
Found 2 papers, 0 papers with code
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology
Traditional datasets for the radiological diagnosis tend to only provide the radiology image alongside the radiology report.
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators
The paper (A. Karargyris and Moradi, 2021) that introduced this dataset developed a U-Net model, which was treated as the baseline model for this research, to show how the eye-gaze data can be used in multi-modal training for explainability improvement.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
