/
settings.json
92 lines (92 loc) · 2.33 KB
/
settings.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
[
{
"type": "info",
"content": "Required inputs:<br><b>• Oncology medical image</b>: 3D image to analyze<br> Accepted modalities: 'T1', 'T2', 'CT', 'SCALAR'<br><b>• Labels mask</b>: Mask containing one or more labels.<br> Accepted tags: 'mask','labels'"
},
{
"type": "container",
"title": "Oncology medical image",
"id": "input_anat",
"mandatory": 1,
"file_filter": "c_anat[1,1]((m'CT'|m'T1'|m'T2'|m'SCALAR'))",
"in_filter": ["mri_brain_data"],
"out_filter": [],
"batch": 1,
"anchor": 1,
"section": "data"
},
{
"type": "container",
"title": "Labels mask",
"id": "input_mask",
"mandatory": 1,
"file_filter": "c_labels[1,1]((t'labels'|t'mask'))",
"in_filter": ["mri_brain_data"],
"out_filter": [],
"batch": 1,
"anchor": 1,
"section": "data"
},
{
"type": "line"
},
{
"type": "heading",
"content": "Radiomic feature classes"
},
{
"type": "multiple_choice",
"id": "feature_classes",
"title": "Feature classes",
"mandatory": "1",
"options": [
["firstorder", "First Order Features"],
["shape", "Shape Features"],
["glcm", "Gray Level Co-occurrence Matrix (GLCM)"],
["glszm", "Gray Level Size Zone Matrix (GLSZM)"],
["ngtdm", "Neighbouring Gray Tone Difference Matrix (NGTDM)"],
["gldm", "Gray Level Dependence Matrix (GLDM)"]
],
"default": ["firstorder", "shape", "glcm", "glszm"]
},
{
"type": "line"
},
{
"type": "heading",
"content": "Image filters"
},
{
"type": "multiple_choice",
"id": "image_filters",
"title": "Image filters",
"mandatory": "0",
"options": [
["Wavelet", "Wavelet"],
["LoG", "Laplacian of Gaussian"],
["Logarithm", "Logarithm"],
["Exponential", "Exponential"]
],
"default": []
},
{
"type": "indent",
"content": "Parameters for Laplacian of Gaussian filter. Only relevant if that filter is selected to be applied :"
},
{
"type": "decimal",
"title": "Sigma value. Defines how coarse the emphasised texture is.",
"id": "sigma_LoG",
"mandatory": 0,
"default": 1.0,
"min": 0.0001
},
{
"type": "decimal",
"title": "Filter width of the Gaussian Kernel (mm)",
"id": "fwidth_LoG",
"mandatory": 0,
"default": 20.0,
"min": 1
}
]