On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition is a research paper published in Physical Chemistry Chemical Physics (2024). On theSindex it has a DataRank of 0. It has been cited 32 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.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: R01 CA262147
National Science Foundation
Grant: CMMI 2224708
NIDDK NIH HHS
Grant: R21 DK125911
National Science Foundation
Grant: 2224708
Study of Dynamical Mechanical Properties of Pericellular Layer
National Institutes of Health
Grant: 5R01CA262147-05
Noninvasive bladder cancer diagnostics via machine learning analysis of nanoscale surface images of epithelial cells extracted from voided urine samples
Fields of Study
MeSH Terms
Keywords