NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images is a research paper published in Cancers (2023). On theSindex it has a DataRank of 0.449. It has been cited 19 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.
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Base Score Contribution
0.449
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 →National Institutes of Health Trailblazer
Grant: R21EB029493
National Institutes of Health Trailblazer
Grant: R01CA276301
National Institutes of Health Trailblazer
Grant: R21CA273665
National Institutes of Health Trailblazer
Grant: R01DC020715
National Institutes of Health Trailblazer
Grant: GR125886
NIH HHS
Grant: R21EB029493 (PIs: Niazi, Segal), R01CA276301 (PIs: Niazi, Wei), and R21 CA273665 (PI: Gurcan)
National Institutes of Health
Grant: 1R21EB029493-01A1
Development of quantitative tools to predict patients with difficult intubation to minimize treatment related complications
National Institutes of Health
Grant: 1R01DC020715-01
Computer-assisted diagnosis of ear pathologies by combining digital otoscopy with complementary data using machine learning
National Institutes of Health
Grant: 5R01CA276301-02
An ensemble deep learning model for tumor bud detection and risk stratification in colorectal carcinoma.
National Institutes of Health
Grant: 1R21CA273665-01A1
Efficient and cost-effective breast cancer risk stratification using whole slide histopathology images
FWCI
2.48
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals