Problem
Precise diagnosis of cancer relies on comprehensive interpretation of histology images by experienced pathologists. The preparation, digitalisation, and interpretation could be weeks, involving a massive amount of time and resources. Here, we propose the application of advanced deep learning technologies to full-spectral autofluorescence lifetime microscopy to significantly decrease the time and resources used for lung cancer diagnosis.
