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About this book
This two-volume set LNCS 14859-14860 constitutes the proceedings of the 28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024, held in Manchester, UK, during July 24–26, 2024.
The 59 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows:
Part I : Advancement in Brain Imaging; Medical Images and Computational Models; and Digital Pathology, Histology and Microscopic Imaging.
Part II : Dental and Bone Imaging; Enhancing Low-Quality Medical Images; Domain Adaptation and Generalisation; and Dermatology, Cardiac Imaging and Other Medical Imaging.
Keywords
- Medical image Analysis
- Brain Imaging
- Digital Pathology
- Computational Models
- Microscopic Imaging
- AI in medical imaging
- Dermatology
- Cardiac Imaging
- Domain adaptation for medical imaging
- AI generalisation
- machine learning
- Deep learning
- image processing
- computer vision
Editors and Affiliations
Bibliographic Information
Book Title: Medical Image Understanding and Analysis
Book Subtitle: 28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part I
Editors: Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar
Series Title: Lecture Notes in Computer Science
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-66954-5Due: 01 September 2024
eBook ISBN: 978-3-031-66955-2Due: 01 September 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 417
Number of Illustrations: 163 b/w illustrations