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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Kenji Suzuki editor Hayit Greenspan editor Ben Glocker editor Tanveer Syeda-Mahmood editor Mauricio Reyes editor Ender Konukoglu editor Roland Wiest editor Yaniv Gur editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:26th Oct '19

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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support cover

This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. 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. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. 

ISBN: 9783030338497

Dimensions: unknown

Weight: unknown

93 pages

1st ed. 2019