Image Processing, Computer Vision, Pattern Recognition, and Graphics

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I

Editors: Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (Eds.)

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  • ISBN 978-3-030-59710-8
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About this book

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.

The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections:

Part I: machine learning methodologies

Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks

Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis

Part IV: segmentation; shape models and landmark detection

Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology

Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging

Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Table of contents (81 chapters)

Table of contents (81 chapters)
  • Attention, Suggestion and Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

    Pages 3-13

    Li, Haohan (et al.)

  • Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency

    Pages 14-23

    Lee, Hyeonsoo (et al.)

  • Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides

    Pages 24-32

    Marzahl, Christian (et al.)

  • Deep Reinforcement Active Learning for Medical Image Classification

    Pages 33-42

    Wang, Jingwen (et al.)

  • An Effective Data Refinement Approach for Upper Gastrointestinal Anatomy Recognition

    Pages 43-52

    Quan, Li (et al.)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-030-59710-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Softcover $129.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Book Subtitle
23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I
Editors
  • Anne L. Martel
  • Purang Abolmaesumi
  • Danail Stoyanov
  • Diana Mateus
  • Maria A. Zuluaga
  • S. Kevin Zhou
  • Daniel Racoceanu
  • Leo Joskowicz
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
12261
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-59710-8
DOI
10.1007/978-3-030-59710-8
Softcover ISBN
978-3-030-59709-2
Edition Number
1
Number of Pages
XXXVII, 849
Number of Illustrations
257 b/w illustrations
Topics