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CNN stability training improves robustness to scanner and IHC-based image variability for epithelium segmentation in cervical histology

Overview of attention for article published in Frontiers in Medicine, July 2023
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Title
CNN stability training improves robustness to scanner and IHC-based image variability for epithelium segmentation in cervical histology
Published in
Frontiers in Medicine, July 2023
DOI 10.3389/fmed.2023.1173616
Pubmed ID
Authors

Felipe Miranda Ruiz, Bernd Lahrmann, Liam Bartels, Alexandra Krauthoff, Andreas Keil, Steffen Härtel, Amy S. Tao, Philipp Ströbel, Megan A. Clarke, Nicolas Wentzensen, Niels Grabe

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Attention Score in Context

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 29 July 2023.
All research outputs
#22,622,714
of 25,235,400 outputs
Outputs from Frontiers in Medicine
#6,253
of 7,075 outputs
Outputs of similar age
#299,305
of 355,348 outputs
Outputs of similar age from Frontiers in Medicine
#266
of 318 outputs
Altmetric has tracked 25,235,400 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.