Individualized and generalized models for predicting observer performance on liver metastasis detection using CT is a research paper published in Journal of Medical Imaging (2022). On theSindex it has a DataRank of 0.269. It has been cited 5 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?
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Base Score Contribution
0.269
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
Grant: EB017095
NIBIB NIH HHS
Grant: R01 EB017095
National Institutes of Health
Grant: 5R01EB017095-03
Trade-offs in human observer performance, image quality metrics, and patient dose
FWCI
0.65
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals