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update vesselboost and defacing pipeline
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stebo85 committed Oct 30, 2024
1 parent c130f90 commit bffa236
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Showing 6 changed files with 12 additions and 12 deletions.
6 changes: 3 additions & 3 deletions recipes/defacing/OpenReconLabel.json
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{
"general": {
"name": { "en": "defacing" },
"version": "1.0.0",
"version": "2.0.0",
"vendor": "neurodesk",
"information": { "en": "Defacing pipeline." },
"information": { "en": "Defacing pipeline with synthstrip and quickshear." },
"id": "defacing",
"regulatory_information": {
"device_trade_name":"defacing",
"production_identifier":"1.0.0",
"production_identifier":"2.0.0",
"manufacturer_address":"Erlangen, Germany",
"made_in":"DE",
"manufacture_date":"2023/02/14",
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2 changes: 1 addition & 1 deletion recipes/defacing/README.md
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Readme will be converted to PDF
This pipeline will run a defacing algorithm consisting of Synthstrip and Quickshear
4 changes: 2 additions & 2 deletions recipes/defacing/params.sh
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# specify the repostiory and name of the docker image
export baseDockerImage=stebo85/bet4
# specify the repostiory and name of the docker image: https://hub.docker.com/orgs/vnmd/repositories
export baseDockerImage=vnmd/quickshear_1.1.0
6 changes: 3 additions & 3 deletions recipes/vesselboost/OpenReconLabel.json
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{
"general": {
"name": { "en": "vesselboost" },
"version": "1.0.1",
"version": "1.0.2",
"vendor": "neurodesk",
"information": { "en": "Vesselboost pipeline." },
"id": "vesselboost",
"regulatory_information": {
"device_trade_name":"vesselboost",
"production_identifier":"1.0.1",
"production_identifier":"1.0.2",
"manufacturer_address":"Erlangen, Germany",
"made_in":"DE",
"manufacture_date":"2023/02/14",
"material_number":"vesselboost_1.0.1",
"material_number":"vesselboost_1.0.2",
"gtin":"00860000171212",
"udi":"(01)00860000171212(21)1.3.0",
"safety_advices":"",
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2 changes: 1 addition & 1 deletion recipes/vesselboost/README.md
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Vesselboost 1.0.1 will run a deep learning pipeline to segment an MRA TOF and output the segmentation.
Vesselboost will run a deep learning pipeline to segment an MRA TOF and output the segmentation.
4 changes: 2 additions & 2 deletions recipes/vesselboost/params.sh
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# specify the repostiory and name of the docker image
export baseDockerImage=vnmd/vesselboost_1.0.1
# specify the repostiory and name of the docker image: https://hub.docker.com/orgs/vnmd/repositories
export baseDockerImage=vnmd/vesselboost_1.0.2

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