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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 (Paperback, 1st ed. 2019) Loot Price: R1,469
Discovery Miles 14 690
Repayment Terms: R138 pm x 12*
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support -...

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 (Paperback, 1st ed. 2019)

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

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11797

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Loot Price R1,469 Discovery Miles 14 690 | Repayment Terms: R138 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11797
Release date: October 2019
First published: 2019
Editors: Kenji Suzuki • Mauricio Reyes • Tanveer Syeda-Mahmood • Ender Konukoglu • Ben Glocker • Roland Wiest • Yaniv Gur • Hayit Greenspan • Anant Madabhushi
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 93
Edition: 1st ed. 2019
ISBN-13: 978-3-03-033849-7
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-03-033849-5
Barcode: 9783030338497

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