Table 2 Performance of the fully convolutional neural network for NFT detection

From: Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy

 

Training/Validation

 

Testing

Metrics

Total

Total

PART

CTE

PSP

Recall, TP/(TP + FN), sensitivity

0.91

0.92

0.96

0.78

0.88

Precision, TP/(TP + FP), PPV

0.80

0.72

0.77

0.75

0.63

F1 score (harmonic mean of precision and recall)

0.85

0.81

0.85

0.77

0.73

  1. F1 score harmonic mean is calculated as 2*Precision*Recall/(Precision + Recall); NFT neurofibrillary tangle; PART primary age-related tauopathy; CTE chronic traumatic encephalopathy; PSP progressive supranuclear palsy
Back to article page