Analyst, 2023, 148,5022-5032
DOI: 10.1039/D3AN00166K, Paper
DOI: 10.1039/D3AN00166K, Paper
Dajana Müller, David Schuhmacher, Stephanie Schörner, Frederik Großerueschkamp, Iris Tischoff, Andrea Tannapfel, Anke Reinacher-Schick, Klaus Gerwert, Axel Mosig
We compare dimensionality reduction approaches and their effect on identifying cancer in infrared microscopic images. Neural networks trained on reduced spectra perform surprisingly well, indicating the importance of spatial information.
The content of this RSS Feed (c) The Royal Society of Chemistry
We compare dimensionality reduction approaches and their effect on identifying cancer in infrared microscopic images. Neural networks trained on reduced spectra perform surprisingly well, indicating the importance of spatial information.
The content of this RSS Feed (c) The Royal Society of Chemistry