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Home > Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings > Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings |
Yalin Zheng; Bryan M. Williams; Ke Chen
Springer International Publishing
Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
Authors

Lorenzo Venturini; Aris T. Papageorghiou; J. Alison Noble; Ana I. L. Namburete

ARI Id

1665237451169_5500347

Access

Not Available Free

Pages

164-173

DOI

10.1007/978-3-030-39343-4_14

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-39343-4_14

Table of Contents of Book
Showing 1 to 20 of 56 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xv
Front Matter
1-1
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.
3-14
Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation
Amelie Grall; Azam Hamidinekoo; Paul Malcolm; Reyer Zwiggelaar
15-25
A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms
Haipeng Li; Ramakrishnan Mukundan; Shelley Boyd
26-37
Wilms’ Tumor in Childhood: Can Pattern Recognition Help for Classification?
Sabine Müller; Joachim Weickert; Norbert Graf
38-47
Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications
Zobia Suhail; Reyer Zwiggelaar
48-58
Front Matter
59-59
Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks
José Faria; João Almeida; Maria João M. Vasconcelos; Luís Rosado
61-73
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
74-85
Classification of Ten Skin Lesion Classes: Hierarchical KNN versus Deep Net
Robert B. Fisher; Jonathan Rees; Antoine Bertrand
86-98
Front Matter
99-99
Multilevel Models of Age-Related Changes in Facial Shape in Adolescents
Damian J. J. Farnell; Jennifer Galloway; Alexei I. Zhurov; Stephen Richmond
101-113
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.
114-126
Front Matter
127-127
Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps
Arijit Patra; J. Alison Noble
129-141
Improving Fetal Head Contour Detection by Object Localisation with Deep Learning
Baidaa Al-Bander; Theiab Alzahrani; Saeed Alzahrani; Bryan M. Williams; Yalin Zheng
142-150
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
151-163
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
Lorenzo Venturini; Aris T. Papageorghiou; J. Alison Noble; Ana I. L. Namburete
164-173
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction
Richard Droste; Yifan Cai; Harshita Sharma; Pierre Chatelain; Aris T. Papageorghiou; J. Alison Noble
174-186
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 56 entries
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