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Medical Image Understanding and Analysis

Overview of attention for book
Cover of 'Medical Image Understanding and Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Tissue Classification to Support Local Active Delineation of Brain Tumors
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    Chapter 2 Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation
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    Chapter 3 A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms
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    Chapter 4 Wilms’ Tumor in Childhood: Can Pattern Recognition Help for Classification?
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    Chapter 5 Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications
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    Chapter 6 Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks
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    Chapter 7 Hyperspectral Imaging Combined with Machine Learning Classifiers for Diabetic Leg Ulcer Assessment – A Case Study
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    Chapter 8 Classification of Ten Skin Lesion Classes: Hierarchical KNN versus Deep Net
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    Chapter 9 Multilevel Models of Age-Related Changes in Facial Shape in Adolescents
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    Chapter 10 Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema
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    Chapter 11 Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps
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    Chapter 12 Improving Fetal Head Contour Detection by Object Localisation with Deep Learning
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    Chapter 13 Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks
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    Chapter 13 Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
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    Chapter 14 Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
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    Chapter 15 Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction
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    Chapter 16 A Novel Deep Learning Based OCTA De-striping Method
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    Chapter 17 Edge Enhancement for Image Segmentation Using a RKHS Method
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    Chapter 18 A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection
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    Chapter 19 Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image
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    Chapter 20 A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images
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    Chapter 21 Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection
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    Chapter 22 Automated Quantification of Retinal Microvasculature from OCT Angiography Using Dictionary-Based Vessel Segmentation
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    Chapter 23 Validating Segmentation of the Zebrafish Vasculature
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    Chapter 24 Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease
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    Chapter 25 Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton
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    Chapter 26 A Variational Joint Segmentation and Registration Framework for Multimodal Images
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    Chapter 27 An Unsupervised Deep Learning Method for Diffeomorphic Mono-and Multi-modal Image Registration
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    Chapter 28 Automatic Detection and Visualisation of Metastatic Bone Disease
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    Chapter 29 High-Order Markov Random Field Based Image Registration for Pulmonary CT
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    Chapter 30 A Fully Automated Segmentation System of Positron Emission Tomography Studies
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    Chapter 31 A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images
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    Chapter 32 Polyp Segmentation with Fully Convolutional Deep Dilation Neural Network
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    Chapter 33 Convolutional Attention on Images for Locating Macular Edema
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    Chapter 34 Optic Disc and Fovea Localisation in Ultra-widefield Scanning Laser Ophthalmoscope Images Captured in Multiple Modalities
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    Chapter 35 Deploying Deep Learning into Practice: A Case Study on Fundus Segmentation
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    Chapter 36 Joint Destriping and Segmentation of OCTA Images
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    Chapter 37 AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy
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    Chapter 38 An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs
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    Chapter 39 Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor
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    Chapter 40 Comparison of Interactions Between Control and Mutant Macrophages
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    Chapter 41 Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRI
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    Chapter 42 DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
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    Chapter 43 Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning
Attention for Chapter 23: Validating Segmentation of the Zebrafish Vasculature
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

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Chapter title
Validating Segmentation of the Zebrafish Vasculature
Chapter number 23
Book title
Medical Image Understanding and Analysis
Published in
Communications in Computer and Information Science, January 2020
DOI 10.1007/978-3-030-39343-4_23
Book ISBNs
978-3-03-039342-7, 978-3-03-039343-4

Elisabeth Kugler, Timothy Chico, Paul A. Armitage, Kugler, Elisabeth, Chico, Timothy, Armitage, Paul A.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Chemistry 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2020.
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Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.6. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 479,433 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them