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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 by Hien V. Nguyen; Sharon X. Huang; Yuan Xue is a nonfiction available to read on EtoBox.
What is Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings about?
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.
Who reads Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hien V. Nguyen; Sharon X. Huang; Yuan Xue
- Publisher
- Springer Nature Switzerland Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783031170270
- Category
- nonfiction
- Subjects
- Computer Science, Business, Technology
Other editions & translations
More by Hien V. Nguyen; Sharon X. Huang; Yuan Xue
Browse all works by Hien V. Nguyen; Sharon X. Huang; Yuan Xue
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