Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support PDF
By:Kenji Suzuki,Mauricio Reyes,Tanveer Syeda-Mahmood,Ender Konukoglu,Ben Glocker,Roland Wiest,Yaniv Gur,Hayit Greenspan,Anant Madabhushi
Published on 2019-10-24 by Springer Nature
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.
This Book was ranked at 21 by Google Books for keyword computer based medical systems.
Book ID of Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support's Books is Vvm4DwAAQBAJ, Book which was written byKenji Suzuki,Mauricio Reyes,Tanveer Syeda-Mahmood,Ender Konukoglu,Ben Glocker,Roland Wiest,Yaniv Gur,Hayit Greenspan,Anant Madabhushihave ETAG "g0iAPbBN5TY"
Book which was published by Springer Nature since 2019-10-24 have ISBNs, ISBN 13 Code is 9783030338503 and ISBN 10 Code is 3030338509
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