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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