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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
  6. Enhancement and Reconstruction

    1. Front Matter
      Pages 187-187
    2. Dongxu Gao, Numan Celik, Xiyin Wu, Bryan M. Williams, Amira Stylianides, Yalin Zheng
      Pages 189-197
    3. Liam Burrows, Weihong Guo, Ke Chen, Francesco Torella
      Pages 198-207
    4. Samiha Rouf, Chenyang Shen, Yan Cao, Conner Davis, Xun Jia, Yifei Lou
      Pages 208-219
  7. Diagnosis, Classification and Treatment

    1. Front Matter
      Pages 229-229
    2. Abdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos et al.
      Pages 231-241
    3. Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed
      Pages 242-253
  8. Vessel and Nerve Analysis

    1. Front Matter
      Pages 255-255
    2. Astrid M. E. Engberg, Jesper H. Erichsen, Birgit Sander, Line Kessel, Anders B. Dahl, Vedrana A. Dahl
      Pages 257-269
    3. Elisabeth Kugler, Timothy Chico, Paul A. Armitage
      Pages 270-281
    4. Jose Bernal, Maria del C. Valdés-Hernández, Javier Escudero, Paul A. Armitage, Stephen Makin, Rhian M. Touyz et al.
      Pages 282-293
    5. Zonghan Wu, Baochang Zhang, Jun Yang, Na Li, Shoujun Zhou
      Pages 294-301
  9. Image Registration

    1. Front Matter
      Pages 303-303
    2. Adela Ademaj, Lavdie Rada, Mazlinda Ibrahim, Ke Chen
      Pages 305-316
    3. Nathan Sjoquist, Tristan Barrett, David Thurtle, Vincent J. Gnanapragasam, Ken Poole, Graham Treece
      Pages 327-338
    4. Peng Xue, Enqing Dong, Huizhong Ji
      Pages 339-350
  10. Image Segmentation

  11. Ophthalmic Imaging

    1. Front Matter
      Pages 389-389
    2. Maximilian Bryan, Gerhard Heyer, Nathanael Philipp, Matus Rehak, Peter Wiedemann
      Pages 391-398
    3. Peter R. Wakeford, Enrico Pellegrini, Gavin Robertson, Michael Verhoek, Alan D. Fleming, Jano van Hemert et al.
      Pages 399-410
    4. Sören Klemm, Robin D. Ortkemper, Xiaoyi Jiang
      Pages 411-422
    5. Xiyin Wu, Dongxu Gao, Bryan M. Williams, Amira Stylianides, Yalin Zheng, Zhong Jin
      Pages 423-435
  12. Posters

    1. Front Matter
      Pages 437-437
    2. Xu Chen, Melissa Leak, Simon P. Harding, Yalin Zheng
      Pages 439-449

About these proceedings

Introduction

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.

Keywords

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

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-39343-4
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-39342-7
  • Online ISBN 978-3-030-39343-4
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site
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