ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
np.random.seed(0)
image_array = np.random.randint(0, 255, (10, 10)).astype(np.int16)
mask_array = np.ones((10, 10)).astype(np.uint8)

image = sitk.GetImageFromArray(image_array)
mask = sitk.GetImageFromArray(mask_array)

image.SetSpacing((1.0,1.0))
mask.SetSpacing((1.0,1.0))

Note
2
Ordinal NumberLocationFirst-order (Intesnsity Histogram + Intensity -based statistical feature+Local Intensity+Intensity_Volume Histogram)ClaasByName:firstorder
3
13.3.1
3.4.1
Mean123.381
4
23.3.5
3.4.5
Median139.52
5
33.4.18Entropy3,38383
6
43.3.17Energy2354898,0 4
7
5Total Energy (*)2227886,0 PyRadiomics 5
8
63.3.6
3.4.6
Minimum 0,0 6
9
73.3.9
3.4.9
Maximum 254,0 7
10
83.3.2
3.4.2
Variance5404,24998
11
93.3.3
3.4.3
Skewness0,20519
12
103.3.4
3.4.4
Kurtosis2,070110
13
113.3.7
3.4.7
10Percentile32,811
14
123.3.8
3.4.8
90Percentile229,0 12
15
133.4.10ModePyRadiomics Not Found
16
143.3.10
3.4.11
Interquartile Range122,513
17
153.3.11
3.4.12
Range251,0 14
18
163.3.12
3.4.13
Mean Absolute Deviation63,873815
19
173.3.15/ 3.4.16Coefficient of VariationPyRadiomics Not Found
20
183.3.16/ 3.4.17Quartile coefficient of dispersionPyRadiomics Not Found
21
193.4.19Uniformity0,105216
22
203.4.20maximum histogram gradientPyRadiomics Not Found
23
213.4.21maximum histogram gradient intensityPyRadiomics Not Found
24
223.4.22minimum histogram gradientPyRadiomics Not Found
25
233.4.23minimum histogram gradient intensityPyRadiomics Not Found
26
243.3.13
3.4.14
Robust Mean Absolute Deviation49,42517
27
253.3.18Root Mean Squared 141,079418
28
Standard Deviation
29
263.3.14/ 3.4.15Median Absolute DeviationPyRadiomics Not Found
30
Shape 2D ClassByName: shape2D
31
273.1.15Elongation0,999819
32
28Perimeter38,8284PyRadiomics20
33
29Perimeter Surface Ratio03902PyRadiomics21
34
30Pixel Surface100,0 22
35
313.1.8Sphericity0,910723
36
323.1.7Spherical Disproportion1,098124
37
333.1.12Major Axis Length11,489125
38
34Maximum Diameter13,453626
39
35Mesh Surface99.527
40
GLCM ( Grey level co-occurence based feature)ClassByName: glcm
41
363.6.2Joint Average5.494928
42
373.6.20Autocorrelation30.356129
43
383.6.1Joint MaximumPyRadiomics Not Found
44
39Joint Energy0.0159PyRadiomics30
45
403.6.3Joint VariancePyRadiomics Not Found
46
413.6.4Joint Entropy6.193631
47
423.6.5Difference Average3.228132
48
433.6.6Difference Variance5.884933
49
443.6.7Difference Entropy3.077134
50
453.6.8Sum Average10.989835
51
463.6.9Sum VariancePyRadiomics Not Found
52
473.6.10Sum Entropy3.888336
53
483.6.11Angular Second MomentPyRadiomics Not Found
54
493.6.12Contrast163.21937
55
503.6.13DissimilatiryPyRadiomics Not Found
56
513.6.14Inverse Difference3.561By name: Id38
57
523.6.16Inverse Difference Moment2.638By name: Idm39
58
533.6.15Nomarlised Inverse Difference 0.7945By name: Idn40
59
543.6.17Normalised Inverse Difference moment0.8978By name: Idmn41
60
553.6.18Inverse Variance0.248242
61
563.6.19Correlation0.019143
62
573.6.21Cluster Tendency16.969344
63
583.6.22Cluster Shade8.284645
64
593.6.23Cluster Prominence668.262746
65
603.6.24Information Correlation 1-0.1493By name: Imc147
66
613.6.25Information Correlation 20.7941By name: Imc248
67
62Maximum Probability0.0411PyRadiomics49
68
63Sum Squares 8.3228PyRadiomics50
69
GLRLM (Grey level run length based feature)Class by name: glrlm
70
643.7.1Short Run Emphasis (SRE)0.924051
71
653.7.2Long Run Emphasis (LRE)1.34152
72
663.7.9Gray Level Non-Uniformity (GLN)9.042453
73
673.7.10Gray Level Non-Uniformity Normalized (GLNN)0.100254
74
683.7.11Run Length Non-Uniformity (RLN)73.976155
75
693.7.12
Run Length Non-Uniformity Normalized (RLNN)
0.819556
76
703.7.13Run Percentage (RP)0.902557
77
713.7.14Gray Level Variance (GLV)8.176058
78
723.7.15Run Variance (RV)0.112959
79
733.7.16Run Entropy (RE)3.746260
80
743.7.3Low Gray Level Run Emphasis (LGLRE)0.137361
81
753.7.4High Gray Level Run Emphasis (HGLRE)38.839262
82
763.7.5
Short Run Low Gray Level Emphasis (SRLGLE)
0.129263
83
773.7.6
Short Run High Gray Level Emphasis (SRHGLE)
36.496364
84
783.7.7
Long Run Low Gray Level Emphasis (LRLGLE)
0.173165
85
793.7.8
Long Run High Gray Level Emphasis (LRHGLE)
49.307766
86
GLSZM (Grey level size zone based Features)Class by name: glszm
87
803.8.1Small Zone Emphasis0.7310by name: Small Area Emphasis67
88
813.8.2Large Zone Emphasis3.0909by name: Large Area Emphasis68
89
823.8.9Gray Level Non Uniformity6.393969
90
833.8.10Gray Level Non Uniformity Normalized0.096970
91
843.8.11Size Zone Non Uniformity32.909171
92
853.8.12Size Zone Non Uniformity Normalized0.498672
93
863.8.13Zone Percentage0.6673
94
873.8.14Gray Level Variance8.504174
95
883.8.15Zone Variance0.795275
96
893.8.16Zone Entropy4.346676
97
903.8.3Low Gray Level Zone Emphasis 0.156577
98
913.8.4High Gray Level Zone Emphasis40.272778
99
923.8.5Small Area Low Gray Level Emphasis0.134279
100
933.8.6Small Area High Gray Level Emphasis30.532780