Black et al apply machine learning techniques to a large dataset of endmember abundance vectors derived from hyperspectral fluorescence measurements of brain tumors. They show that it is possible in this way to classify various tissue types, grades, and biomarkers with a high degree of accuracy.
- David Black
- Declan Byrne
- Eric Suero Molina
