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Table 2 Comparison of performance of cluster splitting methods on BBBC0004 dataset (None—images without applied cluster splitting method)

From: Clustered nuclei splitting based on recurrent distance transform in digital pathology images

  

TPR

PPV

F1

MDR

FDR

USR

OSR

ov00

None

0.968

1.000

0.984

0.00

0.00

0.03

0.00

 

Watershed

0.978

1.000

0.989

0.00

0.00

0.02

0.00

 

Proposed method

0.989

1.000

0.995

0.00

0.00

0.01

0.00

 

H-minima

0.989

1.000

0.995

0.00

0.00

0.01

0.00

 

Huang

0.989

0.999

0.994

0.00

0.00

0.01

0.00

 

Kong

0.989

0.999

0.994

0.00

0.00

0.01

0.00

 

Mouelhi

0.968

1.000

0.984

0.00

0.00

0.03

0.00

ov15

None

0.793

0.997

0.884

0.00

0.00

0.21

0.00

 

Watershed

0.811

0.997

0.894

0.00

0.00

0.19

0.00

 

Proposed method

0.970 †

0.970

0.970 †

0.01

0.00

0.02

0.02

 

H-minima

0.934

0.991

0.961

0.00

0.00

0.06

0.01

 

Huang

0.963

0.955

0.959

0.02

0.00

0.01

0.04

 

Kong

0.955

0.972

0.963

0.01

0.00

0.04

0.03

 

Mouelhi

0.826

0.995

0.902

0.00

0.00

0.17

0.00

ov30

None

0.723

1.000

0.839

0.00

0.00

0.28

0.00

 

Watershed

0.739

1.000

0.850

0.00

0.00

0.26

0.00

 

Proposed method

0.959 †

0.986

0.972 †

0.01

0.00

0.03

0.01

 

H-minima

0.890

0.999

0.941

0.00

0.00

0.11

0.00

 

Huang

0.950

0.963

0.956

0.04

0.01

0.02

0.03

 

Kong

0.926

0.982

0.953

0.00

0.00

0.07

0.02

 

Mouelhi

0.774

0.996

0.871

0.00

0.00

0.22

0.00

ov45

None

0.700

1.000

0.824

0.00

0.00

0.30

0.00

 

Watershed

0.716

1.000

0.834

0.00

0.00

0.28

0.00

 

Proposed method

0.942

0.993

0.967 †

0.01

0.00

0.05

0.01

 

H-minima

0.873

0.999

0.932

0.00

0.00

0.13

0.00

 

Huang

0.946 †

0.981

0.963

0.03

0.00

0.02

0.02

 

Kong

0.930

0.992

0.960

0.00

0.00

0.07

0.01

 

Mouelhi

0.756

0.999

0.861

0.00

0.00

0.24

0.00

ov60

None

0.610

1.000

0.757

0.00

0.00

0.39

0.00

 

Watershed

0.626

1.000

0.770

0.00

0.00

0.37

0.00

 

Proposed method

0.909

0.983

0.945 †

0.01

0.00

0.08

0.02

 

H-minima

0.809

0.993

0.891

0.00

0.00

0.19

0.01

 

Huang

0.921 †

0.973

0.945 †

0.05

0.00

0.03

0.03

 

Kong

0.893

0.964

0.927

0.01

0.00

0.09

0.04

 

Mouelhi

0.696

0.993

0.818

0.00

0.00

0.30

0.01

  1. Best values are marked with â€