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Image Processing, Computer Vision, Pattern Recognition, and Graphics

Machine Learning in Medical Imaging

10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Editors: Suk, H.-I., Liu, M., Yan, P., Lian, C. (Eds.)

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  • ISBN 978-3-030-32692-0
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About this book

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. 

The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the 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 (78 chapters)

Table of contents (78 chapters)
  • Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization

    Pages 1-8

    Ren, Xuhua (et al.)

  • Spatial Regularized Classification Network for Spinal Dislocation Diagnosis

    Pages 9-17

    Lai, Bolin (et al.)

  • Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

    Pages 18-26

    Shen, Yiqiu (et al.)

  • Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function

    Pages 27-35

    Asaturyan, Hykoush (et al.)

  • WSI-Net: Branch-Based and Hierarchy-Aware Network for Segmentation and Classification of Breast Histopathological Whole-Slide Images

    Pages 36-44

    Ni, Haomiao (et al.)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-030-32692-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning in Medical Imaging
Book Subtitle
10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors
  • Heung-Il Suk
  • Mingxia Liu
  • Pingkun Yan
  • Chunfeng Lian
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11861
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-32692-0
DOI
10.1007/978-3-030-32692-0
Softcover ISBN
978-3-030-32691-3
Edition Number
1
Number of Pages
XVIII, 695
Number of Illustrations
65 b/w illustrations, 245 illustrations in colour
Topics