A Review of Uncertainty Estimation and its Application in Medical Imaging

Understand

The use of AI systems in healthcare for the early screening of diseases is of great clinical importance.

• Deep learning has shown great promise in medical imaging, but the reliability and trustworthiness of AI systems limit their deployment in real clinical scenes, where patient safety is at stake.
• Uncertainty estimation plays a pivotal role in producing a confidence evaluation along with the prediction of the deep model.
• This is particularly important in medical imaging, where the uncertainty in the model's predictions can be used to identify areas of concern or to provide additional information to the clinician.