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Table 6 Experimental results of different methods

From: Automatic recognition of micronucleus by combining attention mechanism and AlexNet

Method

AP

F1

AUC

MobileNet [24]

0.589

0.504

0.931

VGG-16 [19]

0.868

0.803

0.989

VGG-Att

0.948

0.786

0.994

GoogLeNet [17]

0.871

0.780

0.988

GoogLeNet-Att

0.875

0.810

0.988

ResNet [18]

0.912

0.804

0.989

ResNet-Att

0.920

0.877

0.993

AlexNet [16]

0.824

0.749

0.984

Alex-light

0.875

0.800

0.990

MSA-Net [25]

0.919

0.808

0.989

Alex-CA

0.883

0.809

0.991

Our method-CE

0.818

0.548

0.985

Our method

0.932

0.811

0.995

  1. The best results in this table are labeled in bold