Skip to main content

Advertisement

Table 1 Individual-Out-Cross-Validation (IO-CV) of a KKNN model; the model has a mean sensitivity of 100 % for the classification between tumor and normal regions, but the mean sensitivity drops to 80.16 % for a differential diagnosis, e.g. for the classification task normal-adenoma-carcinoma

From: Pseudo-HE images derived from CARS/TPEF/SHG multimodal imaging in combination with Raman-spectroscopy as a pathological screening tool

  Annotated classes Characteristics
Predicted class Adenoma Carcinoma Normal Sensitivity / % Specificity / %
Adenoma 4 1 0 80 87.5
Carcinoma 3 5 0 62.5 95.2
Normal 0 0 16 100 100