Code: 24865042

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

Name: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Brand: Springer Nature Switzerland AG
SKU: 24865042
Price: 71.04 EUR
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by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, ETH Zurich, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi

Language: English
Binding: Paperback
Number of pages: 93
Publisher: Springer Nature Switzerland AG, 2019
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Book synopsis

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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Book category Knihy po anglicky Computing & information technology Computer science Artificial intelligence

71.04 €

Full title: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Subtitle: Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Author: Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, ETH Zurich, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
Language: English
Binding: Paperback
Number of pages: 93
EAN: 9783030338497
ID: 24865042
Publisher: Springer Nature Switzerland AG
Weight: 454 g
Dimensions: 235 × 155 × 7 mm
Date of publishing: 26. October 2019