3 papers
cs.LG2024
Back to the Basics on Predicting Transfer Performance
Levy Chaves, Eduardo Valle, Alceu Bissoto +1
In the evolving landscape of deep learning, selecting the best pre-trained models from a growing number of choices is a challenge. Transferability scorers propose alleviating this…
eess.IV2024
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
Tiago Mota, M. Rita Verdelho, Alceu Bissoto +2
The acquisition of different data modalities can enhance our knowledge and understanding of various diseases, paving the way for a more personalized healthcare. Thus, medicine is p…
cs.CV2024
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis
Diogo J. Araújo, M. Rita Verdelho, Alceu Bissoto +3
Deep learning models have revolutionized the field of medical image analysis, due to their outstanding performances. However, they are sensitive to spurious correlations, often tak…