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Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Overview of attention for book
Cover of 'Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Conditional Point Distribution Models
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    Chapter 2 Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces
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    Chapter 3 Iterative Training of Discriminative Models for the Generalized Hough Transform
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    Chapter 4 Topology Noise Removal for Curve and Surface Evolution
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    Chapter 5 Exploring Cortical Folding Pattern Variability Using Local Image Features
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    Chapter 6 Surgical Phases Detection from Microscope Videos by Combining SVM and HMM
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    Chapter 7 Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment
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    Chapter 8 Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations
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    Chapter 9 Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging
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    Chapter 10 Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning
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    Chapter 11 Regression Forests for Efficient Anatomy Detection and Localization in CT Studies
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    Chapter 12 Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography
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    Chapter 13 Learning Adaptive and Sparse Representations of Medical Images
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    Chapter 14 Feature Selection for SVM-Based Vascular Anomaly Detection
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    Chapter 15 Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung
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    Chapter 16 Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)
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    Chapter 17 A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex
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    Chapter 18 Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information
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    Chapter 19 Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interaction
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    Chapter 20 Spotlight: Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation
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    Chapter 21 Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging
Published by
ADS, February 2011
DOI 10.1007/978-3-642-18421-5
ISBNs
978-3-64-218421-5, 978-3-64-218420-8
Editors

Menze, Bjoern, Langs, Georg, Tu, Zhuowen, Criminisi, Antonio

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 5%
Student > Bachelor 1 3%
Lecturer > Senior Lecturer 1 3%
Student > Ph. D. Student 1 3%
Researcher 1 3%
Other 0 0%
Unknown 31 84%
Readers by discipline Count As %
Computer Science 3 8%
Engineering 3 8%
Unknown 31 84%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 September 2020.
All research outputs
#4,567,342
of 23,007,053 outputs
Outputs from ADS
#4,432
of 37,438 outputs
Outputs of similar age
#30,745
of 183,829 outputs
Outputs of similar age from ADS
#98
of 811 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,438 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% of its peers.
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 183,829 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 811 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.