Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11769)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention
Conference proceedings info: MICCAI 2019.
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Table of contents (94 papers)
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Front Matter
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Computed Tomography
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Front Matter
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Other Volumes
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
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.
Keywords
- artificial intelligence
- computed tomography
- computer aided diagnosis
- computer assisted interventions
- image processing
- image reconstruction
- image segmentation
- imaging systems
- learning algorithms
- machine learning
- medical images
- neural networks
- neuroimage reconstruction
- neuroimage segmentation
- optical imaging
- segmentation methods
- support vector machines
- SVM
- x-ray imaging
Editors and Affiliations
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University of North Carolina at Chapel Hill, Chapel Hill, USA
Dinggang Shen, Pew-Thian Yap
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University of Georgia, Athens, USA
Tianming Liu
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Western University, London, Canada
Terry M. Peters, Ali Khan
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Yale University, New Haven, USA
Lawrence H. Staib
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University of Strasbourg, Illkirch, France
Caroline Essert
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United Imaging Intelligence, Shanghai, China
Sean Zhou
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 VI
Editors: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, … Ali Khan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-32226-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-32225-0Published: 13 October 2019
eBook ISBN: 978-3-030-32226-7Published: 12 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXVIII, 860
Number of Illustrations: 168 b/w illustrations, 308 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Health Informatics