Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches is a research paper published in Frontiers in Neuroscience (2020). On theSindex it has a DataRank of 0.689. It has been cited 98 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.689
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: NCI:U24CA180924
National Institutes of Health
Grant: NCI:U24CA215109
National Institutes of Health
Grant: NCI:UG3CA225021
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Grant: NCI:U24CA189523
National Institutes of Health
Grant: NINDS:R01NS042645
U.S. National Library of Medicine
Grant: R01LM011119
U.S. National Library of Medicine
Grant: R01LM009239
NINDS NIH HHS
Grant: R01 NS042645
NCI NIH HHS
Grant: U24 CA215109
NIH HHS
Grant: S10 OD023495
NCI NIH HHS
Grant: U24 CA180924
NCI NIH HHS
Grant: UG3 CA225021
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Grant: U24 CA189523
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Grant: 7R01NS042645-02
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8.81
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals