Enhancing Trustworthiness in Medical Image Segmentation: The Role of Prediction Confidence Estimation

Prediction confidence estimation plays a crucial role in determining the trustworthiness of medical image segmentation models. It aims to quantify the reliability of the model's predictions, allowing clinicians to gauge the level of confidence they can place in the segmentation results. An ideal model for clinical application should not only exhibit high segmentation accuracy but also demonstrate a strong correlation between its prediction confidence estimation and its actual performance. This alignment between confidence and accuracy is essential for building trust in the model's predictions and facilitating informed clinical decision-making.