↓ Skip to main content
What is this page? Embed badge

Applications of Medical Artificial Intelligence

Overview of attention for book
Cover of 'Applications of Medical Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning
  3. Altmetric Badge
    Chapter 2 Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA
  4. Altmetric Badge
    Chapter 3 Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data
  5. Altmetric Badge
    Chapter 4 Uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus Autofluorescence
  6. Altmetric Badge
    Chapter 5 Automated Assessment of Renal Calculi in Serial Computed Tomography Scans
  7. Altmetric Badge
    Chapter 6 Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning
  8. Altmetric Badge
    Chapter 7 Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development
  9. Altmetric Badge
    Chapter 8 ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks
  10. Altmetric Badge
    Chapter 9 CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis
  11. Altmetric Badge
    Chapter 10 Was that so Hard? Estimating Human Classification Difficulty
  12. Altmetric Badge
    Chapter 11 A Deep Learning-Based Interactive Medical Image Segmentation Framework
  13. Altmetric Badge
    Chapter 12 Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images
  14. Altmetric Badge
    Chapter 13 Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI
  15. Altmetric Badge
    Chapter 14 The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation
  16. Altmetric Badge
    Chapter 15 OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs
  17. Altmetric Badge
    Chapter 16 Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection
Attention for Chapter 15: OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
3 Mendeley
Summary X
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs
Chapter number 15
Book title
Applications of Medical Artificial Intelligence
Published in
arXiv, January 2022
DOI 10.1007/978-3-031-17721-7_15
Book ISBNs
978-3-03-117720-0, 978-3-03-117721-7
Authors

Nam, Gunhee, Kim, Taesoo, Lee, Sanghyup, Kooi, Thijs, Gunhee Nam, Taesoo Kim, Sanghyup Lee, Thijs Kooi

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Medicine and Dentistry 1 33%
Engineering 1 33%
Unknown 1 33%
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 14 October 2022.
All research outputs
#14,095,539
of 24,093,053 outputs
Outputs from arXiv
#219,358
of 1,018,817 outputs
Outputs of similar age
#216,286
of 505,056 outputs
Outputs of similar age from arXiv
#6,964
of 33,110 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 77% 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 505,056 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 56% of its contemporaries.
We're also able to compare this research output to 33,110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.

This page is provided by Altmetric.