UID:
almahu_9949450765602882
Format:
X, 125 p. 50 illus., 47 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783031179761
Series Statement:
Lecture Notes in Computer Science, 13611
Content:
This book constitutes the refereed joint proceedings of the 5th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2022, held in September 2022, in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022. The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. .
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031179754
Additional Edition:
Printed edition: ISBN 9783031179778
Language:
English
DOI:
10.1007/978-3-031-17976-1
URL:
https://doi.org/10.1007/978-3-031-17976-1
