Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12261)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: MICCAI 2020.
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About this book
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
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Keywords
Table of contents (81 papers)
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Machine Learning Methodologies
Other volumes
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
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Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data
Editors and Affiliations
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 I
Editors: Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, … Leo Joskowicz
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-59710-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-59709-2Published: 02 October 2020
eBook ISBN: 978-3-030-59710-8Published: 02 October 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXVII, 849
Number of Illustrations: 257 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computer Appl. in Social and Behavioral Sciences, Computers and Education, Computational Biology/Bioinformatics, Pattern Recognition