4 citations · 4 across the 2 of their papers we have counts for
3 papers
Benchmarking noisy label detection methods
Henrique Pickler, Jorge K. S. Kamassury, Danilo Silva
Label noise is a common problem in real-world datasets, affecting both model training and validation. Clean data are essential for achieving strong performance and ensuring reliabl…
Soft Dice Confidence: A Near-Optimal Confidence Estimator for Selective Prediction in Semantic Segmentation
Bruno Laboissiere Camargos Borges, Bruno Machado Pacheco, Danilo Silva
In semantic segmentation, even state-of-the-art deep learning models fall short of the performance required in certain high-stakes applications such as medical image analysis. In t…
eXplainable Artificial Intelligence on Medical Images: A Survey
Matteus Vargas Simão da Silva, Rodrigo Reis Arrais, Jhessica Victoria Santos da Silva +15
Over the last few years, the number of works about deep learning applied to the medical field has increased enormously. The necessity of a rigorous assessment of these models is re…