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Table 6 Results of SLI detection using state-of-the-art methods, classic deep neural networks and the proposed Sch-net

From: Sch-net: a deep learning architecture for automatic detection of schizophrenia

Method

Accuracy

Precision

Recall

F1-score

State-of-the-art method

Grill [85,86,87]

0.9694

1.0000

0.9474

0.9730

Ramarao [88]

0.9941

-

-

-

Slogrove [89]

0.9800

0.9900

0.9900

0.9900

Sharma [90]

0.9790

-

-

-

Reddy [91]

0.9882

-

-

-

Deep Neural Network

AlexNet

0.9132

0.9585

0.8810

0.9181

VGG16

0.9230

0.9897

0.8787

0.9309

ResNet34

0.9329

0.9489

0.9286

0.9386

DenseNet121

0.9461

0.9397

0.9643

0.9518

Xception

0.9622

0.9514

0.9863

0.9685

Sch-net (our)

0.9952

0.9979

0.9937

0.9958