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  "author": "Simone Bendazzoli",
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  "author": "Simone Bendazzoli",
            
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  "author_email": "",
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  "author_email": "",
            
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  "doi": "10.57702/2ko05ank",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Mehdi Astaraki",
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      "extra_author": "Mehdi Astaraki",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Tumor Segmentation",
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      "display_name": "Tumor Segmentation",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "tumor-segmentation",
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      "name": "tumor-segmentation",
            
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      "title": "Tumor Segmentation"
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      "title": "Tumor Segmentation"
            
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    }
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  "landing_page": "https://github.com/SimoneBendazzoli93/PriorNet",
            
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  "metadata_created": "2024-12-03T09:56:55.490979",
            
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  "metadata_modified": "2024-12-03T09:56:55.915859",
            
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  "name": "autopet-2022-challenge",
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  "name": "autopet-2022-challenge",
            
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  "notes": "Tumor segmentation in PET-CT images is challenging due to 
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  "notes": "Tumor segmentation in PET-CT images is challenging due to 
            
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the dual nature of the acquired information: low metabolic information 
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the dual nature of the acquired information: low metabolic information 
            
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in CT and low spatial resolution in PET.",
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in CT and low spatial resolution in PET.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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      "created": "2024-12-03T10:49:30",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "3f875516-114b-4ee7-a38c-117b33a19671",
            
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      "last_modified": "2024-12-03T09:56:55.908814",
            
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Deep Learning",
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      "display_name": "Deep Learning",
            
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    {
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    {
            
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      "display_name": "PET-CT",
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      "display_name": "PET-CT",
            
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      "id": "7d7db423-6eaa-493b-8104-e07dab999efc",
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      "id": "7d7db423-6eaa-493b-8104-e07dab999efc",
            
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      "name": "PET-CT",
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      "name": "PET-CT",
            
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    {
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    {
            
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      "display_name": "Tumor Segmentation",
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      "display_name": "Tumor Segmentation",
            
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      "id": "0cf8dc8e-7ddd-44c1-8a15-ece7938c454e",
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      "id": "0cf8dc8e-7ddd-44c1-8a15-ece7938c454e",
            
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      "name": "Tumor Segmentation",
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      "name": "Tumor Segmentation",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "AutoPET 2022 challenge",
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  "title": "AutoPET 2022 challenge",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}