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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

Overview of attention for book
Cover of 'Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning
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    Chapter 2 Deep Learning for Muscle Pathology Image Analysis
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    Chapter 3 2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans
  5. Altmetric Badge
    Chapter 4 Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
  6. Altmetric Badge
    Chapter 5 Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning
  7. Altmetric Badge
    Chapter 6 Glaucoma Detection Based on Deep Learning Network in Fundus Image
  8. Altmetric Badge
    Chapter 7 Thoracic Disease Identification and Localization with Limited Supervision
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    Chapter 8 Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI
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    Chapter 9 Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
  11. Altmetric Badge
    Chapter 10 Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images
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    Chapter 11 Deep Hashing and Its Application for Histopathology Image Analysis
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    Chapter 12 Tumor Growth Prediction Using Convolutional Networks
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    Chapter 13 Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration
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    Chapter 14 Generative Low-Dose CT Image Denoising
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    Chapter 15 Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging
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    Chapter 16 Agent-Based Methods for Medical Image Registration
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    Chapter 17 Deep Learning for Functional Brain Connectivity: Are We There Yet?
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    Chapter 18 ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases
  20. Altmetric Badge
    Chapter 19 Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs
  21. Altmetric Badge
    Chapter 20 Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
  22. Altmetric Badge
    Chapter 21 Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging
Attention for Chapter 4: Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
10 Mendeley
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Chapter title
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
Chapter number 4
Book title
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Published in
arXiv, January 2019
DOI 10.1007/978-3-030-13969-8_4
Book ISBNs
978-3-03-013968-1, 978-3-03-013969-8
Authors

Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Bachelor 2 20%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Librarian 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 2 20%
Agricultural and Biological Sciences 1 10%
Linguistics 1 10%
Mathematics 1 10%
Engineering 1 10%
Other 0 0%
Unknown 4 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 November 2020.
All research outputs
#12,771,294
of 16,730,735 outputs
Outputs from arXiv
#309,469
of 669,882 outputs
Outputs of similar age
#187,335
of 273,989 outputs
Outputs of similar age from arXiv
#14,543
of 29,549 outputs
Altmetric has tracked 16,730,735 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 669,882 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 273,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29,549 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.