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Cancer Prevention Through Early Detection

Overview of attention for book
Cover of 'Cancer Prevention Through Early Detection'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis
  3. Altmetric Badge
    Chapter 2 Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance
  4. Altmetric Badge
    Chapter 3 Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset
  5. Altmetric Badge
    Chapter 4 Parallel Classification of Cells in Thinprep Cytology Test Image for Cervical Cancer Screening
  6. Altmetric Badge
    Chapter 5 REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection
  7. Altmetric Badge
    Chapter 6 Contrastive and Attention-Based Multiple Instance Learning for the Prediction of Sentinel Lymph Node Status from Histopathologies of Primary Melanoma Tumours
  8. Altmetric Badge
    Chapter 7 Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection
  9. Altmetric Badge
    Chapter 8 IF 3 : An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps
  10. Altmetric Badge
    Chapter 9 A CAD System for Real-Time Characterization of Neoplasia in Barrett’s Esophagus NBI Videos
  11. Altmetric Badge
    Chapter 10 Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows
  12. Altmetric Badge
    Chapter 11 Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network
  13. Altmetric Badge
    Chapter 12 Active Data Enrichment by Learning What to Annotate in Digital Pathology
  14. Altmetric Badge
    Chapter 13 Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett’s Neoplasia Detection
  15. Altmetric Badge
    Chapter 14 Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
  16. Altmetric Badge
    Chapter 15 Strategising Template-Guided Needle Placement for MR-targeted Prostate Biopsy
  17. Altmetric Badge
    Chapter 16 Semantic-Aware Registration with Weakly-Supervised Learning
Attention for Chapter 5: REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
7 Mendeley
Summary X Dimensions citations
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Chapter title
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection
Chapter number 5
Book title
Cancer Prevention Through Early Detection
Published in
arXiv, September 2022
DOI 10.1007/978-3-031-17979-2_5
Book ISBNs
978-3-03-117978-5, 978-3-03-117979-2
Authors

Yifan Zhang, Haoyu Dong, Nicolas Konz, Hanxue Gu, Maciej A. Mazurowski, Nicholas Konz, Zhang, Yifan, Dong, Haoyu, Konz, Nicholas, Gu, Hanxue, Mazurowski, Maciej A.

View on publisher site
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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Unspecified 1 14%
Lecturer 1 14%
Other 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Unspecified 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 October 2022.
All research outputs
#7,146,274
of 23,509,982 outputs
Outputs from arXiv
#153,447
of 972,279 outputs
Outputs of similar age
#134,512
of 439,670 outputs
Outputs of similar age from arXiv
#6,738
of 40,090 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 972,279 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 439,670 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 69% of its contemporaries.
We're also able to compare this research output to 40,090 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.

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