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Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12417)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: SASHIMI 2020.
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About this book
This book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.
The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation.
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Keywords
- image-based simulations
- image segmentation
- image enhancement
- data augmentation
- deep learning
- transfer learning
- convolutional neural networks
- generative adversarial networks
- artificial intelligence
- color image processing
- color images
- computer science
- computer systems
- computer vision
- digital image
- image analysis
- image matching
- image processing
- image quality
- machine learning
Table of contents (19 papers)
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Simulation and Synthesis in Medical Imaging
Editors and Affiliations
Bibliographic Information
Book Title: Simulation and Synthesis in Medical Imaging
Book Subtitle: 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Editors: Ninon Burgos, David Svoboda, Jelmer M. Wolterink, Can Zhao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-59520-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-59519-7Published: 21 September 2020
eBook ISBN: 978-3-030-59520-3Published: 23 September 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 196
Number of Illustrations: 46 b/w illustrations, 61 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Pattern Recognition, Computers and Education, Computer Applications, Mathematics of Computing