© 2020

Medical Image Understanding and Analysis

23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings

  • Yalin Zheng
  • Bryan M. Williams
  • Ke Chen
Conference proceedings MIUA 2019

Part of the Communications in Computer and Information Science book series (CCIS, volume 1065)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Oncology and Tumour Imaging

    1. Front Matter
      Pages 1-1
    2. Albert Comelli, Alessandro Stefano, Samuel Bignardi, Claudia Coronnello, Giorgio Russo, Maria G. Sabini et al.
      Pages 3-14
    3. Amelie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar
      Pages 15-25
    4. Sabine Müller, Joachim Weickert, Norbert Graf
      Pages 38-47
  3. Lesion, Wound and Ulcer Analysis

    1. Front Matter
      Pages 59-59
    2. José Faria, João Almeida, Maria João M. Vasconcelos, Luís Rosado
      Pages 61-73
    3. Mihaela A. Calin, Sorin V. Parasca, Dragos Manea, Roxana Savastru
      Pages 74-85
    4. Robert B. Fisher, Jonathan Rees, Antoine Bertrand
      Pages 86-98
  4. Biostatistics

    1. Front Matter
      Pages 99-99
    2. Damian J. J. Farnell, Jennifer Galloway, Alexei I. Zhurov, Stephen Richmond
      Pages 101-113
    3. Wenyue Zhu, Jae Yee Ku, Yalin Zheng, Paul Knox, Simon P. Harding, Ruwanthi Kolamunnage-Dona et al.
      Pages 114-126
  5. Fetal Imaging

    1. Front Matter
      Pages 127-127
    2. Baidaa Al-Bander, Theiab Alzahrani, Saeed Alzahrani, Bryan M. Williams, Yalin Zheng
      Pages 142-150
    3. Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartłomiej W. Papież, Ana I. L. Namburete
      Pages 151-163
    4. Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete
      Pages 164-173
    5. Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble
      Pages 174-186

About these proceedings


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.


artificial intelligence bioinformatics computer systems computer vision image analysis image processing image segmentation machine learning medical images neural networks pattern recognition

Editors and affiliations

  1. 1.University of LiverpoolLiverpoolUK
  2. 2.University of LiverpoolLiverpoolUK
  3. 3.University of LiverpoolLiverpoolUK

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