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Table 2 Overall distribution of the diagnostic classes from the residual CNNs and the independent neuropathologist with the inter-rater agreement between CNNs correct predictions and the neuropathologist (NP)

From: Novel rapid intraoperative qualitative tumor detection by a residual convolutional neural network using label-free stimulated Raman scattering microscopy

  

NP

CNN 1

CNN 2

CNN 3

SRH images

n = 592

    

(All)

100%

    

Tumor

 

462 (78.0%)

459 (77.5%)

456 (77%)

469 (79.2%)

Non-tumor

 

113 (19.1%)

115 (19.4%)

117 (19.8%)

110 (18.6%)

Low quality

 

17 (2.9%)

18 (3%)

19 (3.2%)

13 (2.2%)

SRH images (three random areas)

n = 402

    
  

(Ground truth)

   

Tumor

 

326 (100%)

297 (91.1%)

298 (91.4%)

305 (95.0%)

Non-tumor

 

67 (100%)

46 (68.7%)

48 (71.6%)

49 (73.1%)

Low quality

 

9 (100%)

5 (55.6%)

5 (55.6%)

6 (66.7%)