@inproceedings{0e45b7fc3f104b0c918bbe1a655aa228,
title = "Calibration of A Regression Network Based on the Predictive Variance with Applications to Medical Images",
abstract = "Calibrating regression neural networks is crucial in medical imaging applications where the decision-making depends on the predicted confidence. In this study we propose a calibration procedure for regression networks that is based on scaling the predictive variance. The amount of scaling depends on the input and is a function of the predictive variance computed by the network. We thus find an entire calibration function instead of a single parameter. We report extensive experiments on a variety of image datasets and network architectures. Our approach achieves state-of-the-art results with a guarantee that the prediction accuracy is not altered.",
keywords = "Expected Normalized Calibration Error (ENCE), network calibration, neural networks, regression",
author = "Lior Frenkel and Jacob Goldberger",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 ; Conference date: 18-04-2023 Through 21-04-2023",
year = "2023",
doi = "10.1109/isbi53787.2023.10230543",
language = "الإنجليزيّة",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
booktitle = "2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023",
address = "الولايات المتّحدة",
}