Method

Magnification Factors

40×

100×

200×

400×

AUC

Accuracy

AUC

Accuracy

AUC

Accuracy

AUC

Accuracy

SI + HA

0.9874

±

0.0054

0.9567

±

0.0119

0.9838

±

0.0044

0.9417

±

0.0134

0.9861

±

0.0042

0.9453

±

0.01

0.9767

±

0.0037

0.9412

±

0.0054

CNN

0.8127

±

0.0018

0.8076

±

0.0131

0.8359

±

0.002

0.8570

±

0.0054

0.8566

±

0.0179

0.8859

±

0.0112

0.8165

±

0.0095

0.8247

±

0.0153

VGG 16

0.8416

±

0.002

0.8307

±

0.0102

0.8030

±

0.0148

0.8186

±

0.0046

0.8221

±

0.0022

0.8443

±

0.0235

0.8056

±

0.0134

0.8244

±

0.0152

AlexNet

0.8033

±

0.0054

0.8347

±

0.0103

0.8062

±

0.0027

0.8166

±

0.0035

0.8674

±

0.0088

0.8676

±

0.017

0.8566

±

0.0382

0.8554

±

0.0021

Inception V3

0.9023

±

0.0053

0.8742

±

0.0123

0.8925

±

0.0021

0.8633

±

0.0133

0.8924

±

0.0054

0.8717

±

0.0067

0.8811

±

0.0034

0.8653

±

0.0079

Texture CNN

0.9123.

±

0.0077

0.8966

±

0.0054

0.8837

±

0.0044

0.8644

±

0.021

0.8976

±

0.0135

0.8744

±

0.0089

0.9023

±

0.0039

0.8831

±

0.0107

CSDCNN

0.9795

±

0.0036

0.9480

±

0.0087

0.9766

±

0.057

0.9324

±

0.0105

0.9757

±

0.0105

0.9355

±

0.013

0.9741

±

0.0044

0.9401

±

0.0098

Optimised CNN

0.9322

±

0.0046

0.9034

±

0.0023

0.8977

±

0.0043

0.8635

±

0.0104

0.8614

±

0.0103

0.8317

±

0.0234

0.8388

±

0.0045

0.8144

±

0.0317

CNN-LSTM

0.9834

±

0.0033

0.9553

±

0.0027

0.9855

±

0.0057

0.9465

±

0.0112

0.9877

±

0.0035

0.9501

±

0.0173

0.9649

±

0.0023

0.9318

±

0.0044

C-Net

0.9933

±

0.0015

0.9677

±

0.0136

0.9967

±

0.0017

0.9601

±

0.0023

0.9769

±

0.0024

0.9293

±

0.0011

0.9755

±

0.0026

0.9317

±

0.0056