Deep representation learning for domain adaptable classification of infrared spectral imaging data
Arne Raulf, Joshua Butke, Claus Küpper, Frederik Großerueschkamp, Klaus Bernhard Gerwert, Axel Mosig A
This paper develops a deep learning method for preprocessing infrared spectral imaging data using stacked contractive autoencoders, enabling domain-adaptable classification across different tissue types.
Bioinformatics · Jun 13, 2019Peer-reviewedBioinformatics