Data Augmentation, Labelling, and Imperfections 1
bokomslag Data Augmentation, Labelling, and Imperfections
Data & IT

Data Augmentation, Labelling, and Imperfections

Hien V Nguyen • Sharon X Huang • Yuan Xue

Pocket

839:-

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  • 124 sidor
  • 2022
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022.DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.
  • Författare: Hien V Nguyen, Sharon X Huang, Yuan Xue
  • Format: Pocket/Paperback
  • ISBN: 9783031170263
  • Språk: Engelska
  • Antal sidor: 124
  • Utgivningsdatum: 2022-09-22
  • Förlag: Springer International Publishing AG

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