DLL version string | class_names list | class_weights list | data_augmentation_parameters dict | hostname string | label_information string | learning_rate float64 | model_description string | multi_slice_settings list | train_patch_count int64 | training_parameters dict | val_patch_count int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskeln",
"Vertikalmuskeln",
"Darmmuskel",
"Hintergrund"
] | [
4.980727572781312,
6.69859878408156,
4.872848189895711,
5.218643195753235,
5.0303878440424805,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskeln","Vertikalmuskeln","Darmmuskel","Hintergrund"],"data":[["2.401.273.400"],["13.133.966 (0,55%)"],["87.786 (0,67%)"],["15.753 (0,12%)"],["97.786 (0,74%)"],["69.199 (0,53%)"],["83.533 (0,64%)"],["12.779.909 (97,30%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2D
| [
{
"CHANNEL_COUNT": 1,
"INC_SLICE_IDX": 1,
"REF_IDX": 0
}
] | 23,793 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 263 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
5.326694461769751,
6.673585224260259,
5.290773331099762,
5.599375624713937,
5.746444933168582,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskel","Vertikalmuskel","Darmmuskel","Hintergrund"],"data":[["1.115.969.085"],["12.686.036 (1,14%)"],["60.562 (0,48%)"],["15.749 (0,12%)"],["62.777 (0,49%)"],["46.108 (0,36%)"],["39.802 (0,31%)"],["12.461.038 (98,23%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2.5D, input slices count: 5
| [
{
"CHANNEL_COUNT": 5,
"INC_SLICE_IDX": 1,
"REF_IDX": 2
}
] | 21,532 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 256 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
4.920941411099613,
6.337982227050232,
4.9279051453488485,
5.210944958225064,
5.421442011467455,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskel","Vertikalmuskel","Darmmuskel","Hintergrund"],"data":[["776.469.064"],["8.374.907 (1,08%)"],["59.514 (0,71%)"],["14.428 (0,17%)"],["59.101 (0,71%)"],["44.532 (0,53%)"],["36.079 (0,43%)"],["8.161.253 (97,45%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2.5D, input slices count: 5
| [
{
"CHANNEL_COUNT": 5,
"INC_SLICE_IDX": 1,
"REF_IDX": 2
}
] | 13,391 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 164 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
5.134265161058997,
6.428789538516747,
4.979933551251148,
5.377444335235608,
5.356945144816895,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskel","Vertikalmuskel","Darmmuskel","Hintergrund"],"data":[["1.066.906.060"],["11.523.744 (1,08%)"],["66.318 (0,58%)"],["18.173 (0,16%)"],["77.385 (0,67%)"],["52.002 (0,45%)"],["53.079 (0,46%)"],["11.256.787 (97,68%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2.5D, input slices count: 5
| [
{
"CHANNEL_COUNT": 5,
"INC_SLICE_IDX": 1,
"REF_IDX": 2
}
] | 19,124 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 233 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
5.326694461769751,
6.673585224260259,
5.290773331099762,
5.599375624713937,
5.746444933168582,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskel","Vertikalmuskel","Darmmuskel","Hintergrund"],"data":[["1.115.969.085"],["12.686.036 (1,14%)"],["60.562 (0,48%)"],["15.749 (0,12%)"],["62.777 (0,49%)"],["46.108 (0,36%)"],["39.802 (0,31%)"],["12.461.038 (98,23%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2D
| [
{
"CHANNEL_COUNT": 1,
"INC_SLICE_IDX": 1,
"REF_IDX": 0
}
] | 21,532 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 256 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskeln",
"Vertikalmuskeln",
"Darmmuskeln",
"Hintergrund"
] | [
5.415717451516593,
6.797470678340251,
5.374267259110964,
5.639512734762573,
5.91102759486282,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskeln","Vertikalmuskeln","Darmmuskeln","Hintergrund"],"data":[["762.003.456"],["6.228.419 (0,82%)"],["27.244 (0,44%)"],["6.842 (0,11%)"],["28.397 (0,46%)"],["21.781 (0,35%)"],["16.602 (0,27%)"],["6.127.553 (98,38%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2D
| [
{
"CHANNEL_COUNT": 1,
"INC_SLICE_IDX": 1,
"REF_IDX": 0
}
] | 9,457 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 129 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskeln",
"Vertikalmuskeln",
"Darmmuskel",
"Hintergrund"
] | [
5.048351443574362,
6.715424296428281,
5.045391281503146,
5.594982673221249,
5.750586246542847,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskeln","Vertikalmuskeln","Darmmuskel","Hintergrund"],"data":[["697.430.166"],["10.407.028 (1,49%)"],["65.440 (0,63%)"],["12.355 (0,12%)"],["65.634 (0,63%)"],["37.883 (0,36%)"],["32.424 (0,31%)"],["10.193.292 (97,95%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2D
| [
{
"CHANNEL_COUNT": 1,
"INC_SLICE_IDX": 1,
"REF_IDX": 0
}
] | 17,136 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 200 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
4.920941411099613,
6.337982227050232,
4.9279051453488485,
5.210944958225064,
5.421442011467455,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskel","Vertikalmuskel","Darmmuskel","Hintergrund"],"data":[["776.469.064"],["8.374.907 (1,08%)"],["59.514 (0,71%)"],["14.428 (0,17%)"],["59.101 (0,71%)"],["44.532 (0,53%)"],["36.079 (0,43%)"],["8.161.253 (97,45%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2D
| [
{
"CHANNEL_COUNT": 1,
"INC_SLICE_IDX": 1,
"REF_IDX": 0
}
] | 13,391 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 164 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
5.134265161058997,
6.428789538516747,
4.979933551251148,
5.377444335235608,
5.356945144816895,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskel","Vertikalmuskel","Darmmuskel","Hintergrund"],"data":[["1.066.906.060"],["11.523.744 (1,08%)"],["66.318 (0,58%)"],["18.173 (0,16%)"],["77.385 (0,67%)"],["52.002 (0,45%)"],["53.079 (0,46%)"],["11.256.787 (97,68%)"]]} | 0.001 | Architecture: Attention U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2D
| [
{
"CHANNEL_COUNT": 1,
"INC_SLICE_IDX": 1,
"REF_IDX": 0
}
] | 19,124 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 233 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
5.326694461769751,
6.673585224260259,
5.290773331099762,
5.599375624713937,
5.746444933168582,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskel","Vertikalmuskel","Darmmuskel","Hintergrund"],"data":[["1.115.969.085"],["12.686.036 (1,14%)"],["60.562 (0,48%)"],["15.749 (0,12%)"],["62.777 (0,49%)"],["46.108 (0,36%)"],["39.802 (0,31%)"],["12.461.038 (98,23%)"]]} | 0.001 | Architecture: U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2.5D, input slices count: 5
| [
{
"CHANNEL_COUNT": 5,
"INC_SLICE_IDX": 1,
"REF_IDX": 2
}
] | 21,532 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 256 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskeln",
"Vertikalmuskeln",
"Darmmuskel",
"Hintergrund"
] | [
4.980727572781312,
6.69859878408156,
4.872848189895711,
5.218643195753235,
5.0303878440424805,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskeln","Vertikalmuskeln","Darmmuskel","Hintergrund"],"data":[["2.401.273.400"],["13.133.966 (0,55%)"],["87.786 (0,67%)"],["15.753 (0,12%)"],["97.786 (0,74%)"],["69.199 (0,53%)"],["83.533 (0,64%)"],["12.779.909 (97,30%)"]]} | 0.001 | Architecture: U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2.5D, input slices count: 5
| [
{
"CHANNEL_COUNT": 5,
"INC_SLICE_IDX": 1,
"REF_IDX": 2
}
] | 23,793 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 263 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskeln",
"Vertikalmuskeln",
"Darmmuskel",
"Hintergrund"
] | [
5.048351443574362,
6.715424296428281,
5.045391281503146,
5.594982673221249,
5.750586246542847,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | PC25246 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","KM oben","KM unten","L\u00e4ngsmuskeln","Vertikalmuskeln","Darmmuskel","Hintergrund"],"data":[["697.430.166"],["10.407.028 (1,49%)"],["65.440 (0,63%)"],["12.355 (0,12%)"],["65.634 (0,63%)"],["37.883 (0,36%)"],["32.424 (0,31%)"],["10.193.292 (97,95%)"]]} | 0.001 | Architecture: U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2.5D, input slices count: 5
| [
{
"CHANNEL_COUNT": 5,
"INC_SLICE_IDX": 1,
"REF_IDX": 2
}
] | 17,136 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 200 |
2025.1.0.2053 | [
"KM oben",
"KM unten",
"Längsmuskel",
"Vertikalmuskel",
"Darmmuskel",
"Hintergrund"
] | [
4.920941411099613,
6.337982227050232,
4.9279051453488485,
5.210944958225064,
5.421442011467455,
1
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
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Parameters:
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Input dimension: 2.5D, input slices count: 5
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2.5D, input slices count: 5
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2D
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2D
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2D
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... | 164 |
2025.1.0.2053 | [
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Parameters:
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Input dimension: 2D
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2.5D, input slices count: 5
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2.5D, input slices count: 5
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2.5D, input slices count: 5
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2D
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2D
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2.5D, input slices count: 5
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2025.1.0.2053 | [
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Parameters:
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Input dimension: 2D
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"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 270 |
2025.1.0.2053 | [
"Km unten",
"Km oben",
"Längsmuskel",
"Vertikalmuskel",
"Beinmuskel",
"Hintergrund",
"Darm"
] | [
4.42239870810157,
4.576164927360052,
3.325211636362459,
4.160467359837165,
6.238685486621753,
1,
8.154888903947784
] | {
"AUGMENTATION_FACTOR": 6,
"BRIGHTNESS_RANGE": [
0.95,
1.05
],
"ELASTIC_SIGMA": [
0.08,
0.16
],
"FLIP_H": true,
"FLIP_V": true,
"GAUSSIAN_VAR": [
0,
0.01
],
"JITTER": [
0,
60
],
"ROTATION": 90,
"SHEAR": 2,
"USE_BRIGHTNESS": true,
"USE_DATA_AUGMENTATION": tr... | fb11pc-u016798 | {"columns":["Data set 1"],"index":["Total voxels","Voxels used","Km unten","Km oben","L\u00e4ngsmuskel","Vertikalmuskel","Beinmuskel","Hintergrund","Darm"],"data":[["1.038.890.146"],["13.636.359 (1,31%)"],["152.132 (1,12%)"],["130.449 (0,96%)"],["455.746 (3,34%)"],["197.686 (1,45%)"],["24.741 (0,18%)"],["12.671.964 (92... | 0.001 | Architecture: U-Net
Parameters:
- Depth level: 5
- Initial filter count: 64
Input dimension: 2D
| [
{
"CHANNEL_COUNT": 1,
"INC_SLICE_IDX": 1,
"REF_IDX": 0
}
] | 23,114 | {
"batch_size": {
"constraints": "None",
"editable": true,
"label": "Batch size",
"tooltip": "The number of patches used for a single model parameters update by the training algorithm.",
"units": null,
"value": 32,
"value_tooltip": ""
},
"epochs_count": {
"constraints": "None",
... | 265 |
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