@@ -109,7 +109,7 @@ def compose(self):
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# https://dicom.nema.org/medical/dicom/current/output/chtml/part05/sect_6.2.html
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# general algorithm information
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- _algorithm_name = "3D Abdominal Organ Segmentation from CT Image "
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+ _algorithm_name = "CCHMC Pediatric CT Abdominal Segmentation "
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_algorithm_family = codes .DCM .ArtificialIntelligence
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_algorithm_version = "0.4.3"
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@@ -140,8 +140,8 @@ def compose(self):
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),
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]
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- # custom tags
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- custom_tags_seg = {"SeriesDescription" : "AI Generated DICOM SEG; Not for Clinical Use." }
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+ # custom tags - add Device UID to DICOM SEG to match SR and SC tags
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+ custom_tags_seg = {"SeriesDescription" : "AI Generated DICOM SEG; Not for Clinical Use." , "DeviceUID" : "0.0.1" }
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custom_tags_sr = {"SeriesDescription" : "AI Generated DICOM SR; Not for Clinical Use." }
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custom_tags_sc = {"SeriesDescription" : "AI Generated DICOM Secondary Capture; Not for Clinical Use." }
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@@ -160,10 +160,8 @@ def compose(self):
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)
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# model and equipment info
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- my_model_info = ModelInfo (
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- "CCHMC Model for CT PED ABD SEG" , "CT Pediatric Abdominal Segmentation" , "0.4.3" , "CCHMC"
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- )
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- my_equipment = EquipmentInfo (manufacturer = "MONAI Deploy App SDK" , manufacturer_model = "DICOM Writer" )
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+ my_model_info = ModelInfo ("CCHMC CAIIR" , "CCHMC Pediatric CT Abdominal Segmentation" , "0.4.3" , "0.0.1" )
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+ my_equipment = EquipmentInfo (manufacturer = "The MONAI Consortium" , manufacturer_model = "MONAI Deploy App SDK" )
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# DICOM SR Writer op
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dicom_sr_writer = DICOMTextSRWriterOperator (
@@ -192,7 +190,7 @@ def compose(self):
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# MongoDB database, collection, and MAP version info
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database_name = "CTLiverSpleenSegPredictions"
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collection_name = "OrganVolumes"
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- map_version = "1. 0.0"
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+ map_version = "0.0.1 "
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# custom MongoDB Entry Creator op
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mongodb_entry_creator = MongoDBEntryCreatorOperator (self , map_version = map_version )
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