Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 1065)
Conference series link(s): MIUA: Annual Conference on Medical Image Understanding and Analysis
Conference proceedings info: MIUA 2019.
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Table of contents (43 papers)
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Front Matter
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Oncology and Tumour Imaging
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Front Matter
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Lesion, Wound and Ulcer Analysis
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Front Matter
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Fetal Imaging
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Front Matter
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About this book
This book constitutes the refereed proceedings of the 23rd Conference on Medical Image Understanding and Analysis, MIUA 2019, held in Liverpool, UK, in July 2019.
The 43 full papers presented were carefully reviewed and selected from 70 submissions. There were organized in topical sections named: oncology and tumour imaging; lesion, wound and ulcer analysis; biostatistics; fetal imaging; enhancement and reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters.
Editors and Affiliations
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University of Liverpool, Liverpool, UK
Yalin Zheng, Bryan M. Williams, Ke Chen
Bibliographic Information
Book Title: Medical Image Understanding and Analysis
Book Subtitle: 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings
Editors: Yalin Zheng, Bryan M. Williams, Ke Chen
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-030-39343-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-39342-7Published: 24 January 2020
eBook ISBN: 978-3-030-39343-4Published: 23 January 2020
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XV, 507
Number of Illustrations: 56 b/w illustrations, 164 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Pattern Recognition, Computational Biology/Bioinformatics