A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization is a research paper published in Modern Pathology (2023). On theSindex it has a DataRank of 0.648. It has been cited 74 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.648
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.
Learn more about DataRank methodology →Cancer Prevention and Research Institute of Texas
Grant: RP180805
Cancer Prevention and Research Institute of Texas
Grant: RP190107
Cancer Prevention and Research Institute of Texas
Grant: RP230330
National Institutes of Health
Grant: 2P30CA142543
National Institutes of Health
Grant: P50CA070907
National Institutes of Health
Grant: R01DE030656
National Institutes of Health
Grant: R01GM140012
National Institutes of Health
Grant: R01GM141519
National Institutes of Health
Grant: R35GM136375
National Institutes of Health
Grant: U01CA249245
NIAID NIH HHS
Grant: U01 AI156189
NCI NIH HHS
Grant: P30 CA142543
FWCI
9.79
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals