Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network is a research paper published in Journal of Medical Imaging (2020). On theSindex it has a DataRank of 0.385. It has been cited 12 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
0.385
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 →HHS|NIH|National Cancer Institute
Grant: R21CA231892
National Institutes of Health
Grant: UL1TR001436
National Institutes of Health
Grant: TL1TR001437
US National Institutes of Health
Grant: R01CA218144
National Institutes of Health
Grant: 1TL1TR001437-01
Clinical and Translational Science Award
National Institutes of Health
Grant: 3UL1TR001436-09S1
Clinical and Translational Science Award
National Institutes of Health
Grant: 5R01CA113580-08
Stat5 in Progression of Prostate Cancer
FWCI
0.93
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals