Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning is a research paper published in Applied Spectroscopy (2022). On theSindex it has a DataRank of 0.854. It has been cited 25 times, with 21 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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
0.489
From this paper's citation signal
Citation Network Contribution
0.366
From 15 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 21 citers.
National Institutes of Health
Grant: R01CA260830
National Institutes of Health
Grant: 5R01CA260830-05
Real time colon histopathology by infrared spectroscopic imaging
European Commission
Grant: 260830
Induced Pluripotent stem Cells: A Novel Strategy to Study Inherited Cardiac Disorders
FWCI
3.94
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
sj-pdf-1-asp-10.1177_00037028221076170 – Supplemental Material for Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning
Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning
sj-pdf-1-asp-10.1177_00037028221076170 – Supplemental Material for Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning
Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning