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Table 1 Individual and average accuracies, precisions, recalls and F1-scores of the proposed classification models evaluated using test dataset

From: Single-cell conventional pap smear image classification using pre-trained deep neural network architectures

 

Accuracy

Precision

Recall

F1-score

 

Accuracy

Precision

Recall

F1-score

NASNetLarge

DC

0.992

0.980

0.980

0.980

InceptionResNetV2

DC

0.992

0.962

1.000

0.980

KC

0.964

0.894

0.930

0.912

KC

0.958

0.899

0.890

0.894

MC

0.970

0.913

0.940

0.926

MC

0.968

0.904

0.940

0.922

PC

0.994

0.990

0.980

0.985

PC

0.988

0.980

0.960

0.970

SIC

0.988

1.000

0.940

0.969

SIC

0.990

1.000

0.950

0.974

Average

0.982

0.955

0.954

0.954

Average

0.979

0.949

0.948

0.948

Xception

DC

0.990

0.961

0.990

0.975

ResNet152V2

DC

0.986

0.952

0.980

0.966

KC

0.968

0.920

0.920

0.920

KC

0.958

0.891

0.900

0.896

MC

0.974

0.922

0.950

0.936

MC

0.968

0.904

0.940

0.922

PC

0.986

0.989

0.940

0.964

PC

0.992

0.990

0.970

0.980

SIC

0.998

1.000

0.990

0.995

SIC

0.988

1.000

0.940

0.969

Average

0.983

0.959

0.958

0.958

Average

0.978

0.947

0.946

0.946

InceptionV3

DC

0.988

0.943

1.000

0.971

DenseNet201

DC

0.988

0.961

0.980

0.970

KC

0.964

0.936

0.880

0.907

KC

0.964

0.918

0.900

0.909

MC

0.966

0.888

0.950

0.918

MC

0.978

0.941

0.950

0.945

PC

0.984

0.979

0.940

0.959

PC

1.000

1.000

1.000

1.000

SIC

0.994

1.000

0.970

0.985

SIC

0.998

1.000

0.990

0.995

Average

0.979

0.949

0.948

0.948

Average

0.986

0.964

0.964

0.964

ResNet101V2

DC

0.986

0.951

0.980

0.966

ResNet152

DC

0.992

0.971

0.990

0.980

KC

0.964

0.918

0.900

0.909

KC

0.968

0.912

0.930

0.921

MC

0.962

0.893

0.920

0.906

MC

0.974

0.939

0.930

0.935

PC

0.994

0.980

0.990

0.985

PC

0.996

1.000

0.990

0.995

SIC

0.990

1.000

0.950

0.974

SIC

0.992

1.000

0.980

0.990

Average

0.979

0.949

0.948

0.948

Average

0.986

0.964

0.964

0.964

ResNet101

DC

0.992

0.980

0.980

0.980

DenseNet169

DC

0.998

1.000

0.990

0.995

KC

0.962

0.909

0.900

0.905

KC

0.974

0.922

0.950

0.936

MC

0.972

0.913

0.950

0.931

MC

0.978

0.941

0.950

0.945

PC

0.998

1.000

0.990

0.995

PC

0.998

1.000

0.990

0.995

SIC

0.996

1.000

0.980

0.990

SIC

0.998

1.000

0.990

0.995

Average

0.984

0.961

0.960

0.960

Average

0.990

0.974

0.974

0.974