* Price may vary from time to time.
* GO = We're not able to fetch the price (please check manually visiting the website).
Data Augmentation, Labelling, and Imperfections is written by Yuan Xue and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031581717 (ISBN 10) and 9783031581717 (ISBN 13).
This LNCS conference volume constitutes the proceedings of the 3rd International Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions. The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.