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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Max Torop",
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  "author": "Max Torop",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "defined_in": "",
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  "defined_in": "",
            
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  "doi": "10.57702/mxglevg0",
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  "doi": "10.57702/mxglevg0",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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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": "Sandesh Ghimire",
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      "extra_author": "Sandesh Ghimire",
            
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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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      "extra_author": "Wenqian Liu",
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      "extra_author": "Wenqian Liu",
            
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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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      "extra_author": "Dana H. Brooks",
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      "extra_author": "Dana H. Brooks",
            
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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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      "extra_author": "Octavia Camps",
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      "extra_author": "Octavia Camps",
            
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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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      "extra_author": "Milind Rajadhyaksha",
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      "extra_author": "Milind Rajadhyaksha",
            
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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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      "extra_author": "Jennifer Dy\u2217",
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      "extra_author": "Jennifer Dy\u2217",
            
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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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      "extra_author": "Kivanc Kose\u2217",
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      "extra_author": "Kivanc Kose\u2217",
            
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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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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Dermoscopy",
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      "display_name": "Dermoscopy",
            
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      "id": "6e7eab06-d2f2-4495-b36e-1a6b9159d8b7",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "dermoscopy",
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      "name": "dermoscopy",
            
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      "title": "Dermoscopy"
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      "title": "Dermoscopy"
            
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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": "Skin Lesion Classification",
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      "display_name": "Skin Lesion Classification",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "skin-lesion-classification",
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      "name": "skin-lesion-classification",
            
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      "title": "Skin Lesion Classification"
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      "title": "Skin Lesion Classification"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "d0c35044-7c7f-413e-8810-22e659237518",
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  "landing_page": "https://www.kaggle.com/c/isic-2019/data",
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-03T09:26:00.114433",
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  "metadata_created": "2024-12-03T09:26:00.114433",
            
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  "metadata_modified": "2024-12-03T09:26:00.114439",
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  "metadata_modified": "2024-12-03T09:26:00.542517",
            
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  "name": "international-skin-imaging-collaboration--isic--2019",
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  "name": "international-skin-imaging-collaboration--isic--2019",
            
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  "notes": "The International Skin Imaging Collaboration (ISIC) 2019 
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  "notes": "The International Skin Imaging Collaboration (ISIC) 2019 
            
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dataset is a multi-source dataset for dermoscopic lesion 
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dataset is a multi-source dataset for dermoscopic lesion 
            
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classification. It consists of 25,531 images corresponding to 13,931 
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classification. It consists of 25,531 images corresponding to 13,931 
            
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different lesions from three sources: Vienna (HAM), Barcelona (BCN), 
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different lesions from three sources: Vienna (HAM), Barcelona (BCN), 
            
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and New York (MSK).",
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and New York (MSK).",
            
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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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      "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": "8be3a653-cf94-4e72-b8b4-69c66e2fe779",
            
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      "display_name": "Skin Lesion Classification",
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      "display_name": "Skin Lesion Classification",
            
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      "id": "1f228c9a-4e3d-4690-bcad-d47d3d23ce51",
            
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      "name": "Skin Lesion Classification",
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      "name": "Skin Lesion Classification",
            
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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": "International Skin Imaging Collaboration (ISIC) 2019",
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  "title": "International Skin Imaging Collaboration (ISIC) 2019",
            
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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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}