Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Seiten
2023
|
1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-44335-0 (ISBN)
Springer International Publishing (Verlag)
978-3-031-44335-0 (ISBN)
This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023.
For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.
For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration.
Uncertainty estimation and modelling.- Out of Distribution management and domain shift robustness.- Bayesian deep learning and uncertainty calibration.
Erscheinungsdatum | 08.10.2023 |
---|---|
Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XIII, 220 p. 58 illus., 54 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 364 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Artificial Intelligence • machine learning • Medical Imaging • out-of-distribution • stability • Uncertainty calibration • Uncertainty Modelling |
ISBN-10 | 3-031-44335-7 / 3031443357 |
ISBN-13 | 978-3-031-44335-0 / 9783031443350 |
Zustand | Neuware |
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