Data Augmentation, Labelling, and Imperfections edito da Springer Nature Switzerland
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Data Augmentation, Labelling, and Imperfections

Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

EAN:

9783031170263

ISBN:

3031170261

Pagine:
136
Formato:
Paperback
Lingua:
Tedesco
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Descrizione Data Augmentation, Labelling, and Imperfections

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.

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