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Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading
Pancreatic cancers have one of the worst prognoses compared to other cancers, as they are diagnosed when cancer has progressed towards its latter stages.
On Calibrated Model Uncertainty in Deep Learning
Estimated uncertainty by approximate posteriors in Bayesian neural networks are prone to miscalibration, which leads to overconfident predictions in critical tasks that have a clear asymmetric cost or significant losses.
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development
B-cell epitopes play a key role in stimulating B-cells, triggering the primary immune response which results in antibody production as well as the establishment of long-term immunity in the form of memory cells.
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Deep Learning has achieved state of the art performance in medical imaging.
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