Skip to main content
SpringerLink
Log in

Medical Image Understanding and Analysis

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Yalin Zheng

    1. University of Liverpool, Liverpool, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Bryan M. Williams

    1. University of Liverpool, Liverpool, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Ke Chen

    1. University of Liverpool, Liverpool, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

Included in the following conference series:

Conference proceedings info: MIUA 2019.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (43 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Oncology and Tumour Imaging

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Tissue Classification to Support Local Active Delineation of Brain Tumors

      • Albert Comelli, Alessandro Stefano, Samuel Bignardi, Claudia Coronnello, Giorgio Russo, Maria G. Sabini et al.
      Pages 3-14

    3. Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation

      • Amelie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar
      Pages 15-25

    4. A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms

      • Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd
      Pages 26-37

    5. Wilms’ Tumor in Childhood: Can Pattern Recognition Help for Classification?

      • Sabine Müller, Joachim Weickert, Norbert Graf
      Pages 38-47

    6. Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications

      • Zobia Suhail, Reyer Zwiggelaar
      Pages 48-58

  3. Lesion, Wound and Ulcer Analysis

    1. Front Matter

      Pages 59-59
      Download chapter PDF

    2. Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks

      • José Faria, João Almeida, Maria João M. Vasconcelos, Luís Rosado
      Pages 61-73

    3. Hyperspectral Imaging Combined with Machine Learning Classifiers for Diabetic Leg Ulcer Assessment – A Case Study

      • Mihaela A. Calin, Sorin V. Parasca, Dragos Manea, Roxana Savastru
      Pages 74-85

    4. Classification of Ten Skin Lesion Classes: Hierarchical KNN versus Deep Net

      • Robert B. Fisher, Jonathan Rees, Antoine Bertrand
      Pages 86-98

  4. Biostatistics

    1. Front Matter

      Pages 99-99
      Download chapter PDF

    2. Multilevel Models of Age-Related Changes in Facial Shape in Adolescents

      • Damian J. J. Farnell, Jennifer Galloway, Alexei I. Zhurov, Stephen Richmond
      Pages 101-113

    3. Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema

      • 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
      Download chapter PDF

    2. Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps

      • Arijit Patra, J. Alison Noble
      Pages 129-141

    3. Improving Fetal Head Contour Detection by Object Localisation with Deep Learning

      • Baidaa Al-Bander, Theiab Alzahrani, Saeed Alzahrani, Bryan M. Williams, Yalin Zheng
      Pages 142-150

    4. Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks

      • Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartłomiej W. Papież, Ana I. L. Namburete
      Pages 151-163

    5. Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound

      • Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete
      Pages 164-173

    6. Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction

      • Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble
      Pages 174-186
Back to top

Other volumes

  1. Medical Image Understanding and Analysis

Keywords

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

  • University of Liverpool, Liverpool, UK

    Yalin Zheng, Bryan M. Williams, Ke Chen

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation