Changes

On December 16, 2024 at 6:39:04 PM UTC, admin:
Changed title to NIH pancreas segmentation dataset (previously NIH Pancreas Segmentation dataset)
Set author of NIH pancreas segmentation dataset to Yunze Man (previously NIH)
Updated description of NIH pancreas segmentation dataset from
The dataset consists of 82 abdominal CT volumes.
to
The NIH pancreas segmentation dataset contains 82 abdominal CT volumes. The width and height of each volume are 512, while the axial view slice number can vary from 181 to 466. Under semi-supervised settings, the dataset is randomly split into 20 testing cases and 62 training cases.
Removed the following tags from NIH pancreas segmentation dataset
Added the following tags to NIH pancreas segmentation dataset
Changed value of field defined_in to https://doi.org/10.1016/j.media.2020.101766 in NIH pancreas segmentation dataset
Changed value of field citation to ['https://doi.org/10.48550/arXiv.1709.04518'] in NIH pancreas segmentation dataset
Changed value of field landing_page to https://doi.org/10.1038/s41598-018-25647-4 in NIH pancreas segmentation dataset
Deleted resource Original Metadata from NIH pancreas segmentation dataset
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "NIH", n 3   "author": "Yunze Man",
            4   "author_email": "", 4   "author_email": "",
            n 5   "citation": [], n 5   "citation": [
            6     "https://doi.org/10.48550/arXiv.1709.04518"
            7   ],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 8   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "", n 9   "defined_in": "https://doi.org/10.1016/j.media.2020.101766",
            8   "doi": "10.57702/o344289a", 10   "doi": "10.57702/o344289a",
            9   "doi_date_published": "2024-12-16", 11   "doi_date_published": "2024-12-16",
            10   "doi_publisher": "TIB", 12   "doi_publisher": "TIB",
            11   "doi_status": true, 13   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 14   "domain": "https://service.tib.eu/ldmservice",
            n n 15   "extra_authors": [
            16     {
            17       "extra_author": "Yangsibo Huang",
            18       "orcid": ""
            19     },
            20     {
            21       "extra_author": "Junyi Feng",
            22       "orcid": ""
            23     },
            24     {
            25       "extra_author": "Xi Li",
            26       "orcid": ""
            27     },
            28     {
            29       "extra_author": "Fei Wu",
            30       "orcid": ""
            31     }
            32   ],
            13   "groups": [ 33   "groups": [
            n n 34     {
            35       "description": "",
            36       "display_name": "Medical Image Analysis",
            37       "id": "2f8bf60c-dbda-4650-b6f0-ee38a7549438",
            38       "image_display_url": "",
            39       "name": "medical-image-analysis",
            40       "title": "Medical Image Analysis"
            41     },
            14     { 42     {
            15       "description": "", 43       "description": "",
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            18       "image_display_url": "", 46       "image_display_url": "",
            19       "name": "medical-imaging", 47       "name": "medical-imaging",
            20       "title": "Medical Imaging" 48       "title": "Medical Imaging"
            21     } 49     }
            22   ], 50   ],
            23   "id": "34aff755-cfd8-42d0-b78a-a8384819a7a0", 51   "id": "34aff755-cfd8-42d0-b78a-a8384819a7a0",
            24   "isopen": false, 52   "isopen": false,
            n 25   "landing_page": "", n 53   "landing_page": "https://doi.org/10.1038/s41598-018-25647-4",
            26   "license_title": null, 54   "license_title": null,
            27   "link_orkg": "", 55   "link_orkg": "",
            28   "metadata_created": "2024-12-16T17:51:26.806049", 56   "metadata_created": "2024-12-16T17:51:26.806049",
            n 29   "metadata_modified": "2024-12-16T17:51:27.237658", n 57   "metadata_modified": "2024-12-16T18:39:03.701468",
            30   "name": "nih-pancreas-segmentation-dataset", 58   "name": "nih-pancreas-segmentation-dataset",
            n 31   "notes": "The dataset consists of 82 abdominal CT volumes.", n 59   "notes": "The NIH pancreas segmentation dataset contains 82 
            60 abdominal CT volumes. The width and height of each volume are 512, 
            61 while the axial view slice number can vary from 181 to 466. Under 
            62 semi-supervised settings, the dataset is randomly split into 20 
            63 testing cases and 62 training cases.",
            32   "num_resources": 1, 64   "num_resources": 0,
            33   "num_tags": 3, 65   "num_tags": 6,
            34   "organization": { 66   "organization": {
            35     "approval_status": "approved", 67     "approval_status": "approved",
            36     "created": "2024-11-25T12:11:38.292601", 68     "created": "2024-11-25T12:11:38.292601",
            37     "description": "", 69     "description": "",
            38     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 70     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            39     "image_url": "", 71     "image_url": "",
            40     "is_organization": true, 72     "is_organization": true,
            41     "name": "no-organization", 73     "name": "no-organization",
            42     "state": "active", 74     "state": "active",
            43     "title": "No Organization", 75     "title": "No Organization",
            44     "type": "organization" 76     "type": "organization"
            45   }, 77   },
            46   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 78   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            47   "private": false, 79   "private": false,
            48   "relationships_as_object": [], 80   "relationships_as_object": [],
            49   "relationships_as_subject": [], 81   "relationships_as_subject": [],
            n 50   "resources": [ n 82   "resources": [],
            51     { 
            52       "cache_last_updated": null, 
            53       "cache_url": null, 
            54       "created": "2024-12-16T18:25:31", 
            55       "data": [ 
            56         "dcterms:title", 
            57         "dcterms:accessRights", 
            58         "dcterms:creator", 
            59         "dcterms:description", 
            60         "dcterms:issued", 
            61         "dcterms:language", 
            62         "dcterms:identifier", 
            63         "dcat:theme", 
            64         "dcterms:type", 
            65         "dcat:keyword", 
            66         "dcat:landingPage", 
            67         "dcterms:hasVersion", 
            68         "dcterms:format", 
            69         "mls:task" 
            70       ], 
            71       "description": "The json representation of the dataset with its  
            72 distributions based on DCAT.", 
            73       "format": "JSON", 
            74       "hash": "", 
            75       "id": "13e35021-3978-4647-82e2-c868b359b837", 
            76       "last_modified": "2024-12-16T17:51:27.230513", 
            77       "metadata_modified": "2024-12-16T17:51:27.240477", 
            78       "mimetype": "application/json", 
            79       "mimetype_inner": null, 
            80       "name": "Original Metadata", 
            81       "package_id": "34aff755-cfd8-42d0-b78a-a8384819a7a0", 
            82       "position": 0, 
            83       "resource_type": null, 
            84       "size": 514, 
            85       "state": "active", 
            86       "url":  
            87 resource/13e35021-3978-4647-82e2-c868b359b837/download/metadata.json", 
            88       "url_type": "upload" 
            89     } 
            90   ], 
            91   "services_used_list": "", 83   "services_used_list": "",
            92   "state": "active", 84   "state": "active",
            93   "tags": [ 85   "tags": [
            94     { 86     {
            n 95       "display_name": "CT Scans", n 87       "display_name": "CT scans",
            96       "id": "a9e5e755-dc6a-465f-b7ba-88a42b502293", 88       "id": "c9a7a2fa-09f0-4ac3-952e-72a465e448fa",
            97       "name": "CT Scans", 89       "name": "CT scans",
            98       "state": "active", 90       "state": "active",
            99       "vocabulary_id": null 91       "vocabulary_id": null
            100     }, 92     },
            101     { 93     {
            n 102       "display_name": "Medical Imaging", n 94       "display_name": "Medical Image Segmentation",
            103       "id": "10261ea5-4420-472c-8004-e29d20a88fb8", 95       "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f",
            104       "name": "Medical Imaging", 96       "name": "Medical Image Segmentation",
            105       "state": "active", 97       "state": "active",
            106       "vocabulary_id": null 98       "vocabulary_id": null
            107     }, 99     },
            108     { 100     {
            n n 101       "display_name": "Semi-supervised Learning",
            102       "id": "8beffbec-e8a0-46a4-8dc2-bc25f6b10b22",
            103       "name": "Semi-supervised Learning",
            104       "state": "active",
            105       "vocabulary_id": null
            106     },
            107     {
            108       "display_name": "medical image analysis",
            109       "id": "1a727667-ecbc-4b74-8adb-e03697de19c9",
            110       "name": "medical image analysis",
            111       "state": "active",
            112       "vocabulary_id": null
            113     },
            114     {
            109       "display_name": "Pancreas", 115       "display_name": "pancreas",
            110       "id": "0f6ce1e8-9648-46f9-a582-d192e3da0988", 116       "id": "bab9c4cf-c5c0-45b8-97a9-1742af365274",
            111       "name": "Pancreas", 117       "name": "pancreas",
            118       "state": "active",
            119       "vocabulary_id": null
            120     },
            121     {
            122       "display_name": "segmentation",
            123       "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44",
            124       "name": "segmentation",
            112       "state": "active", 125       "state": "active",
            113       "vocabulary_id": null 126       "vocabulary_id": null
            114     } 127     }
            115   ], 128   ],
            t 116   "title": "NIH Pancreas Segmentation dataset", t 129   "title": "NIH pancreas segmentation dataset",
            117   "type": "dataset", 130   "type": "dataset",
            118   "version": "" 131   "version": ""
            119 } 132 }