Three unsupervised and supervised algorithms accurately identify sample pixels versus background in FTIR images, with the supervised version supporting automatic detection.
A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.optics 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Unsupervised and Supervised Algorithms for Identification of Sample Pixels in FTIR Images
Three unsupervised and supervised algorithms accurately identify sample pixels versus background in FTIR images, with the supervised version supporting automatic detection.