Image Processing, Computer Vision, Pattern Recognition, and Graphics

Machine Learning in Medical Imaging

11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Editors: Liu, M., Yan, P., Lian, C., Cao, X. (Eds.)

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About this book

This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.

The 68 papers presented in this volume were carefully reviewed and selected from 101 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.


Table of contents (68 chapters)

Table of contents (68 chapters)
  • Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI

    Pages 1-10

    Yao, Dongren (et al.)

  • Error Attention Interactive Segmentation of Medical Image Through Matting and Fusion

    Pages 11-20

    Hu, Weifeng (et al.)

  • A Novel fMRI Representation Learning Framework with GAN

    Pages 21-29

    Dong, Qinglin (et al.)

  • Semi-supervised Segmentation with Self-training Based on Quality Estimation and Refinement

    Pages 30-39

    Zheng, Zhou (et al.)

  • 3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies

    Pages 40-49

    Schnider, Eva (et al.)

Buy this book

eBook $84.99
price for Brazil
  • ISBN 978-3-030-59861-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Softcover $109.99
price for Brazil
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning in Medical Imaging
Book Subtitle
11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Editors
  • Mingxia Liu
  • Pingkun Yan
  • Chunfeng Lian
  • Xiaohuan Cao
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
12436
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-59861-7
DOI
10.1007/978-3-030-59861-7
Softcover ISBN
978-3-030-59860-0
Edition Number
1
Number of Pages
XV, 686
Number of Illustrations
172 b/w illustrations, 230 illustrations in colour
Topics