Data Augmentation, Labelling, and Imperfections
| Author | : Hien V. Nguyen |
| Publisher | : Springer Nature |
| Total Pages | : 134 |
| Release | : 2022-09-21 |
| ISBN-10 | : 9783031170270 |
| ISBN-13 | : 303117027X |
| Rating | : 4/5 (27X Downloads) |
Book Synopsis Data Augmentation, Labelling, and Imperfections by : Hien V. Nguyen
Download or read book Data Augmentation, Labelling, and Imperfections written by Hien V. Nguyen and published by Springer Nature. This book was released on 2022-09-21 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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