Table 1. Type of tissue, the colour of label and number of
spectra obtained for this study
After labelling, the following steps were carried out:
Application of the network to distinguish between benign and malignant
lymphoid tissue types. To do so, the neural network is trained with
two sets of spectral data (e.g., FL vs DLBCL, non-GCB). The evaluation
of the deep classifier is done on the second set of spectra containing
the respective classes.
Classification of more than two types (multiclass) of neoplastic and
reactive lymphoid tissue.