Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Suppor, (Paperback)

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Management number 230218585 Release Date 2026/06/18 List Price $16.86 Model Number 230218585
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<p>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.</p> <p>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. </p>

  • Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Suppor, (Paperback)
  • Author: Springer
  • ISBN: 9783030338497
  • Format: Paperback
  • Publication Date: 2019-10-26
  • Page Count: 93
Book format Paperback
Fiction/nonfiction Non-Fiction
Genre Textbooks
Publication date October, 2019
Pages 93
Subgenre Logic
Series title No Series
Number in series 2
Edition 2019 Edition
Publisher Springer International Publishing
Original languages English
Language English
Educational level Higher
Is collectible N
Editor Kenji Suzuki; Mauricio Reyes; Tanveer Syeda-Mahmood; Ender Konukoglu; Ben Glocker; Roland Wiest; Yaniv Gur; Hayit Greenspan; Anant Madabhushi
Binding type Perfect Binding
Recording time 0 min
Retail packaging Single Piece
Assembled product dimensions (l x w x h) 6.14 x 0.23 x 9.21 in
Assembled product weight 0.37 lb
Bisac subject heading Mathematics

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