Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Paperback)

Carole H. Sudre

ISBN 10: 3031443357 / ISBN 13: 9783031443350

Edité par Springer International Publishing AG, Cham, 2023

A propos de cet article

Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de réf. du vendeur 9783031443350

Détails bibliographiques

• Titre: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Paperback)
• Éditeur: Springer International Publishing AG, Cham
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 3031443357
• ISBN à 13 chiffres: 9783031443350
• Reliure: Paperback
• Édition: Edition originale
• État de l'article: new

A propos de ce titre

Synopsis

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.