Changes

On December 3, 2024 at 10:43:48 AM UTC, admin:
Changed title to CAMELYON-16 (previously Camelyon-16)
Set author of CAMELYON-16 to Weiyi Wu (previously Antoine Pirovano)
Updated description of CAMELYON-16 from
Whole Slide Imaging (WSI) classiﬁcation architectures that use only the global label (e.g. diagnosis) to train and require no intermediate information such as cell labeling or tissue segmentation.
to
The CAMELYON-16 dataset is a public dataset for whole slide image analysis, containing 16,000 whole slide images of breast cancer histopathology slides.
Removed the following tags from CAMELYON-16
- Multiple Instance Learning
- WSI classiﬁcation
Added the following tags to CAMELYON-16
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2406.09333 in CAMELYON-16
Changed value of field extra_authors to [{'extra_author': 'Chongyang Gao', 'orcid': ''}, {'extra_author': 'Xinwen Xu', 'orcid': ''}, {'extra_author': 'Xingjian Diao', 'orcid': ''}, {'extra_author': 'Siting Li', 'orcid': ''}, {'extra_author': 'Jiang Gui', 'orcid': ''}] in CAMELYON-16
Changed value of field landing_page to https://www.kaggle.com/camelyon16 in CAMELYON-16
Deleted resource Original Metadata from CAMELYON-16
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Antoine Pirovano", n 3   "author": "Weiyi Wu",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [], 5   "citation": [],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "https://doi.org/10.48550/arXiv.2009.14001", n 7   "defined_in": "https://doi.org/10.48550/arXiv.2406.09333",
            8   "doi": "10.57702/upahgbtu", 8   "doi": "10.57702/upahgbtu",
            9   "doi_date_published": "2024-12-02", 9   "doi_date_published": "2024-12-02",
            10   "doi_publisher": "TIB", 10   "doi_publisher": "TIB",
            11   "doi_status": true, 11   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 12   "domain": "https://service.tib.eu/ldmservice",
            13   "extra_authors": [ 13   "extra_authors": [
            14     { 14     {
            n 15       "extra_author": "Hippolyte Heuberger", n 15       "extra_author": "Chongyang Gao",
            16       "orcid": "" 16       "orcid": ""
            17     }, 17     },
            18     { 18     {
            n 19       "extra_author": "Sylvain Berlemont", n 19       "extra_author": "Xinwen Xu",
            20       "orcid": "" 20       "orcid": ""
            21     }, 21     },
            22     { 22     {
            n 23       "extra_author": "Sa\u00a8\u0131d Ladjal", n 23       "extra_author": "Xingjian Diao",
            24       "orcid": "" 24       "orcid": ""
            25     }, 25     },
            26     { 26     {
            n 27       "extra_author": "Isabelle Bloch", n 27       "extra_author": "Siting Li",
            28       "orcid": ""
            29     },
            30     {
            31       "extra_author": "Jiang Gui",
            28       "orcid": "" 32       "orcid": ""
            29     } 33     }
            30   ], 34   ],
            31   "groups": [ 35   "groups": [
            32     { 36     {
            33       "description": "", 37       "description": "",
            n 34       "display_name": "Histopathology", n 38       "display_name": "Computer Vision",
            35       "id": "82509a4f-474e-4d24-8f98-8a65caaa3b08", 39       "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25",
            36       "image_display_url": "", 40       "image_display_url": "",
            n 37       "name": "histopathology", n 41       "name": "computer-vision",
            38       "title": "Histopathology" 42       "title": "Computer Vision"
            39     }, 43     },
            40     { 44     {
            41       "description": "", 45       "description": "",
            n 42       "display_name": "Whole Slide Imaging", n 46       "display_name": "Medical Imaging",
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            44       "image_display_url": "", 48       "image_display_url": "",
            n 45       "name": "whole-slide-imaging", n 49       "name": "medical-imaging",
            46       "title": "Whole Slide Imaging" 50       "title": "Medical Imaging"
            47     } 51     }
            48   ], 52   ],
            49   "id": "5c27263f-0ab4-4023-8295-8281fca7c311", 53   "id": "5c27263f-0ab4-4023-8295-8281fca7c311",
            50   "isopen": false, 54   "isopen": false,
            n 51   "landing_page": "https://doi.org/10.1038/s41591-019-0508-1", n 55   "landing_page": "https://www.kaggle.com/camelyon16",
            52   "license_title": null, 56   "license_title": null,
            53   "link_orkg": "", 57   "link_orkg": "",
            54   "metadata_created": "2024-12-02T18:09:59.837842", 58   "metadata_created": "2024-12-02T18:09:59.837842",
            n 55   "metadata_modified": "2024-12-02T18:10:00.237803", n 59   "metadata_modified": "2024-12-03T10:43:47.468044",
            56   "name": "camelyon-16", 60   "name": "camelyon-16",
            n 57   "notes": "Whole Slide Imaging (WSI) classi\ufb01cation architectures  n 61   "notes": "The CAMELYON-16 dataset is a public dataset for whole 
            58 that use only the global label (e.g. diagnosis) to train and require  62 slide image analysis, containing 16,000 whole slide images of breast 
            59 no intermediate information such as cell labeling or tissue  63 cancer histopathology slides.",
            60 segmentation.", 
            61   "num_resources": 1, 64   "num_resources": 0,
            62   "num_tags": 3, 65   "num_tags": 5,
            63   "organization": { 66   "organization": {
            64     "approval_status": "approved", 67     "approval_status": "approved",
            65     "created": "2024-11-25T12:11:38.292601", 68     "created": "2024-11-25T12:11:38.292601",
            66     "description": "", 69     "description": "",
            67     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 70     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            68     "image_url": "", 71     "image_url": "",
            69     "is_organization": true, 72     "is_organization": true,
            70     "name": "no-organization", 73     "name": "no-organization",
            71     "state": "active", 74     "state": "active",
            72     "title": "No Organization", 75     "title": "No Organization",
            73     "type": "organization" 76     "type": "organization"
            74   }, 77   },
            75   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 78   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            76   "private": false, 79   "private": false,
            77   "relationships_as_object": [], 80   "relationships_as_object": [],
            78   "relationships_as_subject": [], 81   "relationships_as_subject": [],
            n 79   "resources": [ n 82   "resources": [],
            80     { 
            81       "cache_last_updated": null, 
            82       "cache_url": null, 
            83       "created": "2024-12-02T18:38:42", 
            84       "data": [ 
            85         "dcterms:title", 
            86         "dcterms:accessRights", 
            87         "dcterms:creator", 
            88         "dcterms:description", 
            89         "dcterms:issued", 
            90         "dcterms:language", 
            91         "dcterms:identifier", 
            92         "dcat:theme", 
            93         "dcterms:type", 
            94         "dcat:keyword", 
            95         "dcat:landingPage", 
            96         "dcterms:hasVersion", 
            97         "dcterms:format", 
            98         "mls:task", 
            99         "datacite:isDescribedBy" 
            100       ], 
            101       "description": "The json representation of the dataset with its  
            102 distributions based on DCAT.", 
            103       "format": "JSON", 
            104       "hash": "", 
            105       "id": "469b9df7-6113-41d7-9384-791a01cd4200", 
            106       "last_modified": "2024-12-02T18:10:00.230836", 
            107       "metadata_modified": "2024-12-02T18:10:00.240615", 
            108       "mimetype": "application/json", 
            109       "mimetype_inner": null, 
            110       "name": "Original Metadata", 
            111       "package_id": "5c27263f-0ab4-4023-8295-8281fca7c311", 
            112       "position": 0, 
            113       "resource_type": null, 
            114       "size": 934, 
            115       "state": "active", 
            116       "url":  
            117 resource/469b9df7-6113-41d7-9384-791a01cd4200/download/metadata.json", 
            118       "url_type": "upload" 
            119     } 
            120   ], 
            121   "services_used_list": "", 83   "services_used_list": "",
            122   "state": "active", 84   "state": "active",
            123   "tags": [ 85   "tags": [
            n n 86     {
            87       "display_name": "Breast Cancer",
            88       "id": "da1fcea7-e8aa-442e-9a1f-b2a51dfa4525",
            89       "name": "Breast Cancer",
            90       "state": "active",
            91       "vocabulary_id": null
            92     },
            93     {
            94       "display_name": "Computer Vision",
            95       "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e",
            96       "name": "Computer Vision",
            97       "state": "active",
            98       "vocabulary_id": null
            99     },
            124     { 100     {
            125       "display_name": "Histopathology", 101       "display_name": "Histopathology",
            126       "id": "5d14dd3a-bce5-484b-a11b-8c3c64800276", 102       "id": "5d14dd3a-bce5-484b-a11b-8c3c64800276",
            127       "name": "Histopathology", 103       "name": "Histopathology",
            128       "state": "active", 104       "state": "active",
            129       "vocabulary_id": null 105       "vocabulary_id": null
            130     }, 106     },
            131     { 107     {
            n 132       "display_name": "Multiple Instance Learning", n 108       "display_name": "Medical Imaging",
            133       "id": "2b8b24cb-327c-4f38-9a4e-468cd0d267e0", 109       "id": "10261ea5-4420-472c-8004-e29d20a88fb8",
            134       "name": "Multiple Instance Learning", 110       "name": "Medical Imaging",
            135       "state": "active", 111       "state": "active",
            136       "vocabulary_id": null 112       "vocabulary_id": null
            137     }, 113     },
            138     { 114     {
            n 139       "display_name": "WSI classi\ufb01cation", n 115       "display_name": "Whole Slide Images",
            140       "id": "e63b6fa7-42eb-403d-885d-95e3c6ff70aa", 116       "id": "f7d869d1-6da9-4259-85d6-d0ea11acc7b2",
            141       "name": "WSI classi\ufb01cation", 117       "name": "Whole Slide Images",
            142       "state": "active", 118       "state": "active",
            143       "vocabulary_id": null 119       "vocabulary_id": null
            144     } 120     }
            145   ], 121   ],
            t 146   "title": "Camelyon-16", t 122   "title": "CAMELYON-16",
            147   "type": "dataset", 123   "type": "dataset",
            148   "version": "" 124   "version": ""
            149 } 125 }