Image Processing, Computer Vision, Pattern Recognition, and Graphics

Machine Learning in Medical Imaging

9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Editors: Shi, Yinghuan, Suk, Heung-Il, Liu, Mingxia (Eds.)

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About this book

This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.

The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Table of contents (47 chapters)

Table of contents (47 chapters)
  • Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis

    Pages 1-9

    Jie, Biao (et al.)

  • Robust Contextual Bandit via the Capped-

    Pages 10-18

    Zhu, Feiyun (et al.)

  • Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation

    Pages 19-27

    Bnouni, Nesrine (et al.)

  • Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection

    Pages 28-36

    Shen, Yaxin (et al.)

  • End-to-End Lung Nodule Detection in Computed Tomography

    Pages 37-45

    Wu, Dufan (et al.)

Buy this book

eBook $59.99
price for USA in USD
  • ISBN 978-3-030-00919-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA in USD
  • ISBN 978-3-030-00918-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning in Medical Imaging
Book Subtitle
9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Editors
  • Yinghuan Shi
  • Heung-Il Suk
  • Mingxia Liu
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11046
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-00919-9
DOI
10.1007/978-3-030-00919-9
Softcover ISBN
978-3-030-00918-2
Edition Number
1
Number of Pages
XII, 409
Number of Illustrations
16 b/w illustrations, 138 illustrations in colour
Topics