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ZENODO
Software . 2018
Data sources: Datacite
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ZENODO
Software . 2018
Data sources: ZENODO
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ZENODO
Software . 2018
Data sources: Datacite
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jnkather/deep-stroma-histology: Source code for deep stroma score, second release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Oct 2018Publisher:Zenodo
Authors: Kather, Jakob Nikolas;
Code repository: https://github.com/jnkather/deep-stroma-histology/tree/v0.2

doi: 10.5281/zenodo.1471616 , 10.5281/zenodo.1420551

jnkather/deep-stroma-histology: Source code for deep stroma score, second release

Abstract

This is the second release of the source code for our project "A deep learning based stroma score is an independent prognostic factor in colorectal cancer". The legibility of the code has been improved.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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