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 IV

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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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 (79 chapters)

Table of contents (79 chapters)
  • Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression

    Pages 3-13

    Cai, Jinzheng (et al.)

  • DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision

    Pages 14-24

    Wolleb, Julia (et al.)

  • KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients

    Pages 25-34

    Liu, Xiaohong (et al.)

  • CircleNet: Anchor-Free Glomerulus Detection with Circle Representation

    Pages 35-44

    Yang, Haichun (et al.)

  • Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies

    Pages 45-55

    Tam, Leo K. (et al.)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-030-59719-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts from 10 eBooks
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 IV
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
12264
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-59719-1
DOI
10.1007/978-3-030-59719-1
Softcover ISBN
978-3-030-59718-4
Edition Number
1
Number of Pages
XXXVII, 831
Number of Illustrations
22 b/w illustrations
Topics