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Image Processing, Computer Vision, Pattern Recognition, and Graphics

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II

Editors: Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., Yap, P.-T., Khan, A. (Eds.)

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  • ISBN 978-3-030-32245-8
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About this book

The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019.

The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: optical imaging; endoscopy; microscopy.

Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression.

Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging.

Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis.

Part V: computer assisted interventions; MIC meets CAI.

Part VI: computed tomography; X-ray imaging.

Table of contents (95 chapters)

Table of contents (95 chapters)
  • Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

    Pages 3-11

    Yang, Dong (et al.)

  • Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound

    Pages 12-20

    El-Hariri, Houssam (et al.)

  • Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning

    Pages 21-29

    Audelan, Benoît (et al.)

  • One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

    Pages 30-38

    Perslev, Mathias (et al.)

  • ‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans

    Pages 39-47

    Rickmann, Anne-Marie (et al.)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-030-32245-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.99
price for USA
  • ISBN 978-3-030-32244-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
Book Subtitle
22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II
Editors
  • Dinggang Shen
  • Tianming Liu
  • Terry M. Peters
  • Lawrence H. Staib
  • Caroline Essert
  • Sean Zhou
  • Pew-Thian Yap
  • Ali Khan
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11765
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-32245-8
DOI
10.1007/978-3-030-32245-8
Softcover ISBN
978-3-030-32244-1
Edition Number
1
Number of Pages
XXXVIII, 874
Topics