Fluorescence excitation-scanning hyperspectral imaging with scalable 2D–3D deep learning framework for colorectal cancer detection is a research paper published in Scientific Reports (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.
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?
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.
NSF
Grant: CNS1953544
NHLBI NIH HHS
Grant: P01 HL066299
NIH
Grant: S10OD028606
NSF
Grant: OISE1951488
NSF
Grant: MMRI1725937
NSF
Grant: OIA2218046
National Science Foundation
Grant: 1725937
MRI: Development of a high-speed, hyperspectral imaging spinning disk confocal microscope
National Science Foundation
Grant: 2218046
RII Track 2 FEC: Building Research Infrastructure and Workforce in Edge Artificial Intelligence
National Institutes of Health
Grant: 1S10OD028606-01
Zeiss LSM 980 Airyscan confocal microscope
National Science Foundation
Grant: 1953544
RET Site: Research Experiences for Teachers in Biologically-inspired Computing Systems
National Science Foundation
Grant: 1951488
IRES Track I:Collaborative Research:Application-Specific Asynchronous Deep Learning IC Design for Ultra-Low Power
National Institutes of Health
Grant: 5P01HL066299-19
Lung endothelial cell phenotypes
Alabama Space Grant Consortium
Alabama EPSCoR Graduate Research Fellowship
FWCI
1.55
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals