Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net) is a research paper published in IRIS UNIMORE (University of Modena and Reggio Emilia) (2020). On theSindex it has a DataRank of 0.570. It has been cited 36 times, with 1 citing works in its 1-hop citation network.
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
0.542
From this paper's citation signal
Citation Network Contribution
0.0283
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
National Cancer Institute
Grant: R01CA199673
National Cancer Institute
Grant: P30CA008748
National Institutes of Health
National Cancer Institute
Nvidia
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