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Table 1 Confusion matrix of clinical test

From: Automatic detection on intracranial aneurysm from digital subtraction angiography with cascade convolutional neural networks

 

Diagnosis+

Diagnosis−

Total

(a) Confusion matrix model of dual-input model (dual-input)

 Predict+

\(20 {\pm } 0.00\)

\(11 {\pm } 2.97\)

31

 Predict−

\(0 {\pm } 0.00\)

\(9 {\pm } 2.97\)

9

 Total

20

20

40

(b) Confusion matrix of dual-input model and RAGS (dual-input + RAGS)

 Predict+

\(19.2 {\pm } 0.40\)

\(1.8 {\pm } 0.40\)

21

 Predict−

\(0.8 {\pm } 0.40\)

\(18.2 {\pm } 0.40\)

19

 Total

20

20

40

(c) Confusion matrix of baseline method (Rahmany et al. [15])

 Predict+

19

14

33

 Predict−

1

6

7

 Total

20

20

40