bokomslag Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
Data & IT

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H Sudre Raghav Mehta Cheng Ouyang Chen Qin Marianne Rakic

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  • 226 sidor
  • 2024
This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024. The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.
  • Författare: Carole H Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic
  • Format: Pocket/Paperback
  • ISBN: 9783031731570
  • Språk: Engelska
  • Antal sidor: 226
  • Utgivningsdatum: 2024-10-02
  • Förlag: Springer International Publishing AG