Uncertainty for Safe Utilization of Machine Learning in Medical Imaging 1st Edition by Carole H Sudre, Christian F Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M Wells III ISBN 9783031167485 3031167481

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging 1st Edition by Carole H Sudre, Christian F Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M Wells III – Ebook PDF Instant Download/Delivery: 9783031167485 ,3031167481
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Product details:

ISBN 10: 3031167481
ISBN 13: 9783031167485
Author: Carole H Sudre, Christian F Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M Wells III

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging 1st Edition Table of contents:

1. Uncertainty Modelling
2. MOrphologically-Aware Jaccard-Based ITerative Optimization (MOJITO) for Consensus Segmentation
3. Quantification of Predictive Uncertainty via Inference-Time Sampling
4. Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity
5. On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation
6. What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation?
7. Uncertainty Calibration
8. Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation
9. Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty
10. Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty
11. Calibration of Deep Medical Image Classifiers: An Empirical Comparison Using Dermatology and Histopathology Datasets
12. Annotation Uncertainty and Out of Distribution Management
13. nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
14. Generalized Probabilistic U-Net for Medical Image Segementation
15. Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet
16. Information Gain Sampling for Active Learning in Medical Image Classification

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Tags: Carole H Sudre, Christian F Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M Wells III, Safe Utilization