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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Olivier Dehaene",
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  "author": "Wenhui Zhu",
            
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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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    "https://doi.org/10.48550/arXiv.2303.15749"
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    "https://doi.org/10.48550/arXiv.2407.03575"
            
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  ],
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  ],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2402.19326",
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  "defined_in": "https://doi.org/10.48550/arXiv.2307.07168",
            
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  "doi": "10.57702/moua9tht",
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  "doi": "10.57702/moua9tht",
            
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  "doi_date_published": "2024-12-02",
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  "doi_date_published": "2024-12-02",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "Axel Camara",
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      "extra_author": "Xiwen Chen",
            
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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": "Olivier Moindrot",
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      "extra_author": "Peijie Qiu",
            
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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": "Axel de Lavergne",
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      "extra_author": "Aristeidis Sotiras",
            
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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": "Pierre Courtiol",
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      "extra_author": "Abolfazl Razi",
            
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      "orcid": ""
            
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    },
            
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    {
            
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      "extra_author": "Yalin Wang",
            
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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": "Cancer Research",
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      "display_name": "Whole Slide Image Classification",
            
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      "id": "f703b1f1-6f78-408b-922a-6ef99197e120",
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      "name": "cancer-research",
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      "name": "whole-slide-image-classification",
            
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      "title": "Cancer Research"
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      "title": "Whole Slide Image Classification"
            
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    },
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Computer Vision",
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      "display_name": "Whole Slide Image Semantic Segmentation",
            
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      "name": "computer-vision",
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      "name": "whole-slide-image-semantic-segmentation",
            
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      "title": "Computer Vision"
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      "title": "Whole Slide Image Semantic Segmentation"
            
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    },

            
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      "description": "",

            
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      "image_display_url": "",

            
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      "name": "medical-imaging",

            
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      "title": "Medical Imaging"

            
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  "landing_page": "https://www.kaggle.com/camelyon16/data",
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  "landing_page": "https://www.cameleyon16.org/",
            
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  "license_title": null,
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  "metadata_modified": "2024-12-03T07:53:40.264360",
            
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  "name": "camelyon16",
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  "name": "camelyon16",
            
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  "notes": "The Camelyon16 dataset contains a total of 400 sentinel 
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  "notes": "The CAMELYON16 dataset consists of 399 Hematoxylin & Eosin 
            
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lymph node H&E-stained WSIs from two medical centers, split into 270 
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(H&E)-stained WSIs of sentinel axillary lymph node sections. The 
            
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for training and 130 for testing.",
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training set contains 111 WSIs with and 159 WSIs without breast cancer 
            
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metastases, and each WSI with metastases is accompanied by pixel-level 
            
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contour annotations delineating the boundaries of the metastases.",
            
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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": "69dd1898-507f-4a57-8cc8-22e5de659161",

            
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      "last_modified": "2024-12-02T18:12:57.338127",

            
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    {
            
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      "display_name": "Breast Cancer",
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      "display_name": "Breast Cancer",
            
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    },
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    },
            
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    {
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      "display_name": "Multiple Instance Learning",
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    },
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    },
            
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    {
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      "display_name": "WSI classification",
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      "id": "b3af3131-7ae8-427d-acdb-c8769bc9758b",

            
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      "name": "WSI classification",

            
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    },

            
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    {

            
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      "display_name": "Whole Slide Image",
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      "display_name": "Whole Slide Image Classification",
            
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      "id": "74335a9f-ba7c-4e99-afa2-b5cf6c6b3d5f",
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      "name": "Whole Slide Image",
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  ],
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  "title": "Camelyon16",
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  "title": "CAMELYON16",
            
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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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}