Image Processing, Computer Vision, Pattern Recognition, and Graphics

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

Editors: Suzuki, K., Reyes, M., Syeda-Mahmood, T., Konukoglu, E., Glocker, B., Wiest, R., Gur, Y., Greenspan, H., Madabhushi, A. (Eds.)

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About this book

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. 

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer’s Disease Classification

    Pages 3-11

    Eitel, Fabian (et al.)

  • UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics

    Pages 12-20

    Yeche, Hugo (et al.)

  • Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis

    Pages 21-29

    Lee, Hyebin (et al.)

  • Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection

    Pages 30-38

    Pisov, Maxim (et al.)

  • Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules

    Pages 39-47

    Zhu, Peifei (et al.)

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-33850-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-33849-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Book 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
Editors
  • Kenji Suzuki
  • Mauricio Reyes
  • Tanveer Syeda-Mahmood
  • Ender Konukoglu
  • Ben Glocker
  • Roland Wiest
  • Yaniv Gur
  • Hayit Greenspan
  • Anant Madabhushi
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11797
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33850-3
DOI
10.1007/978-3-030-33850-3
Softcover ISBN
978-3-030-33849-7
Edition Number
1
Number of Pages
XVI, 93
Number of Illustrations
33 b/w illustrations, 35 illustrations in colour
Topics