Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
I've found a littel error in the doc of NGTDM featurs. The shown example of NGTDM is like this:
$$\begin{split}\begin{array}{cccc}
i & n_i & p_i & s_i\
\hline 1 & 6 & 0.375 & 13.35\
2 & 2 & 0.125 & 2.00\
3 & 4 & 0.25 & 2.63\
4 & 0 & 0.00 & 0.00\
5 & 4 & 0.25 & 10.075
\end{array}\end{split}$$
But as formular caculated in the page below, $s_3$ should be equal to 3.03.
$s_3 = |3-12/5| + |3-18/5| + |3-20/8| + |3-5/3| = 3.03$
I've read this doc from Neighbouring Gray Tone Difference Matrix (NGTDM) Features
PS.I'm new in github, not familiar with the proper format to submmit an issue. If there exist any inappropriate, pleas forgive my rudeness.
I've found a littel error in the doc of NGTDM featurs. The shown example of NGTDM is like this: $$\begin{split}\begin{array}{cccc} i & n_i & p_i & s_i\ \hline 1 & 6 & 0.375 & 13.35\ 2 & 2 & 0.125 & 2.00\ 3 & 4 & 0.25 & 2.63\ 4 & 0 & 0.00 & 0.00\ 5 & 4 & 0.25 & 10.075 \end{array}\end{split}$$ But as formular caculated in the page below, $s_3$ should be equal to 3.03. $s_3 = |3-12/5| + |3-18/5| + |3-20/8| + |3-5/3| = 3.03$ I've read this doc from Neighbouring Gray Tone Difference Matrix (NGTDM) Features
PS.I'm new in github, not familiar with the proper format to submmit an issue. If there exist any inappropriate, pleas forgive my rudeness.