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"item_title" : "Data Augmentation, Labelling, and Imperfections",
"item_author" : [" Hien V. Nguyen", "Sharon X. Huang", "Yuan Xue "],
"item_description" : "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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Data Augmentation, Labelling, and Imperfections : Second Miccai Workshop, Dali 2022, Held in Conjunction with Miccai 2022, Singapore, September 22, 202
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783031170263
- ISBN-10: 3031170261
- Publisher: Springer
- Publish Date: September 2022
- Dimensions: 9.21 x 6.14 x 0.29 inches
- Shipping Weight: 0.44 pounds
- Page Count: 124
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