Table 4 p-Values with error values for Uncertainty.

From: Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging

Regions

Difference Range

(−1 to −0.5)

(−0.5 to 0)

(0 to 0.2)

(0.21 to 0.4)

(0.41–0.6)

(0.61–0.8)

(0.81-1)

p-Value

Error

p-Value

Error

p-Value

Error

p-Value

Error

p-Value

Error

p-Value

Error

p-Value

Error

2

0.26

\(\:\pm\:\)0.06

0.37

\(\:\pm\:\)0.02

0.42

\(\:\pm\:\)0.034

0.49

\(\:\pm\:\)0.036

0.57

\(\:\pm\:\)0.03

0.6

\(\:\pm\:\)0.029

0.64

\(\:\pm\:\)0.028

4

0.31

\(\:\pm\:\)0.04

0.4

\(\:\pm\:\)0.039

0.47

\(\:\pm\:\)0.03

0.53

\(\:\pm\:\)0.028

0.62

\(\:\pm\:\)0.024

0.64

\(\:\pm\:\)0.022

0.69

\(\:\pm\:\)0.02

6

0.37

\(\:\pm\:\)0.047

0.43

\(\:\pm\:\)0.044

0.52

\(\:\pm\:\)0.029

0.59

\(\:\pm\:\)0.021

0.67

\(\:\pm\:\)0.021

0.70

\(\:\pm\:\)0.019

00.78

\(\:\pm\:\)0.017

8

0.41

\(\:\pm\:\)0.05

0.52

\(\:\pm\:\)0.031

0.64

\(\:\pm\:\)0.021

0.72

\(\:\pm\:\)0.016

0.78

\(\:\pm\:\)0.017

0.84

\(\:\pm\:\)0.014

0.89

\(\:\pm\:\)0.011

10

0.54

\(\:\pm\:\)0.032

0.59

\(\:\pm\:\)0.022

0.704

\(\:\pm\:\)0.018

0.793

\(\:\pm\:\)0.014

0.855

\(\:\pm\:\)0.01

0.891

\(\:\pm\:\)0.01

0.924

\(\:\pm\:\)0.004