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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 Mlcds 2019 Held In Conjunction With Miccai 2019 1st Ed 2019 Kenji Suzuki

  • SKU: BELL-10801310
Interpretability Of Machine Intelligence In Medical Image Computing And Multimodal Learning For Clinical Decision Support Second International Workshop Imimic 2019 And 9th International Workshop Mlcds 2019 Held In Conjunction With Miccai 2019 1st Ed 2019 Kenji Suzuki
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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 Mlcds 2019 Held In Conjunction With Miccai 2019 1st Ed 2019 Kenji Suzuki instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 12.88 MB
Author: Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
ISBN: 9783030338497, 9783030338503, 3030338495, 3030338509
Language: English
Year: 2019
Edition: 1st ed. 2019

Product desciption

Interpretability Of Machine Intelligence In Medical Image Computing And Multimodal Learning For Clinical Decision Support Second International Workshop Imimic 2019 And 9th International Workshop Mlcds 2019 Held In Conjunction With Miccai 2019 1st Ed 2019 Kenji Suzuki by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi 9783030338497, 9783030338503, 3030338495, 3030338509 instant download after payment.

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.

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