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Medical Image Understanding and Analysis

28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part I

  • Conference proceedings
  • Aug 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14859)

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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

  • Manchester Metropolitan University, Manchester, United Kingdom

    Moi Hoon Yap, Connah Kendrick

  • Edge Hill University, Ormskirk, United Kingdom

    Ardhendu Behera

  • Aberystwyth University, Aberystwyth, United Kingdom

    Timothy Cootes, Reyer Zwiggelaar

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

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