Overview
- Editors:
- Bartłomiej W. Papież
University of Oxford, Oxford, UK
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- Ana I. L. Namburete
University of Oxford, Oxford, UK
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- Mohammad Yaqub
University of Oxford, Oxford, UK
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- J. Alison Noble
University of Oxford, Oxford, UK
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Part of the book series:Communications in Computer and Information Science (CCIS, volume 1248)
Included in the following conference series:
Conference proceedings info: MIUA 2020.
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About this book
The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.
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Keywords
Table of contents (34 papers)
Front Matter
Pages i-xivImage Segmentation
Front Matter
Pages 1-1Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images
- Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong et al.
Pages 3-14Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation
- Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Pages 15-25Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema
- Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug
Pages 26-42Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation
- Andreas Stefani, Roushanak Rahmat, David Harris-Birtill
Pages 43-55Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound
- Madeleine K. Wyburd, Mark Jenkinson, Ana I. L. Namburete
Pages 56-68Improving U-Net Segmentation with Active Contour Based Label Correction
- Linde S. Hesse, Ana I. L. Namburete
Pages 69-81Segmenting Hepatocellular Carcinoma in Multi-phase CT
- Nora Vogt, Sir Michael Brady, Ged Ridgway, John Connell, Ana I. L. Namburete
Pages 82-92On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images
- Liam Burrows, Ke Chen, Francesco Torella
Pages 93-104Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal
- George P. Ralli, Gerard R. Ridgway, Sir Michael Brady
Pages 105-117Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations
- Jack Weatheritt, Daniel Rueckert, Robin Wolz
Pages 118-130Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study
- Alexandre Triay Bagur, Ged Ridgway, John McGonigle, Sir Michael Brady, Daniel Bulte
Pages 131-142Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Based Shortest Path Algorithm
- Merve Zeybel, Yusuf Sinan Akgul
Pages 143-154DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks
- Andrew Torr, Doga Basaran, Julia Sero, Jens Rittscher, Heba Sailem
Pages 155-167
Image registration, reconstruction and enhancement
Front Matter
Pages 169-169A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging
- Jose Bernal, Maria Valdés-Hernández, Lucia Ballerini, Javier Escudero, Angela C. C. Jochems, Una Clancy et al.
Pages 171-183Groupwise Multimodal Image Registration Using Joint Total Variation
- Mikael Brudfors, Yaël Balbastre, John Ashburner
Pages 184-194CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN
- Essa R. Anas, Ahmed Onsy, Bogdan J. Matuszewski
Pages 195-207A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks
- Roshan Reddy Upendra, Richard Simon, Cristian A. Linte
Pages 208-220
Other volumes
Medical Image Understanding and Analysis
Editors and Affiliations
University of Oxford, Oxford, UK
Bartłomiej W. Papież, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
Bibliographic Information
Book Title:Medical Image Understanding and Analysis
Book Subtitle:24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings
Editors:Bartłomiej W. Papież, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
Series Title:Communications in Computer and Information Science
DOI:https://doi.org/10.1007/978-3-030-52791-4
Publisher:Springer Cham
eBook Packages:Computer Science,Computer Science (R0)
Copyright Information:Springer Nature Switzerland AG 2020
Softcover ISBN:978-3-030-52790-7Published: 08 July 2020
eBook ISBN:978-3-030-52791-4Published: 08 July 2020
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number:1
Number of Pages:XIV, 448
Number of Illustrations:28 b/w illustrations, 171 illustrations in colour
Topics:Image Processing and Computer Vision,Machine Learning,Computer Applications,Pattern Recognition,Information Systems and Communication Service,Computers and Education