Changes
On December 2, 2024 at 6:12:03 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in SIIM-ACR Pneumothorax Segmentation Challenge -
Changed value of field
doi_date_published
to2024-12-02
in SIIM-ACR Pneumothorax Segmentation Challenge -
Added resource Original Metadata to SIIM-ACR Pneumothorax Segmentation Challenge
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3 | "author": "Ayat Abedalla", | 3 | "author": "Ayat Abedalla", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Malak Abdullah", | 15 | "extra_author": "Malak Abdullah", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Mahmoud Al-Ayyoub", | 19 | "extra_author": "Mahmoud Al-Ayyoub", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Elhadj Benkhelifa", | 23 | "extra_author": "Elhadj Benkhelifa", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | } | 25 | } | ||
26 | ], | 26 | ], | ||
27 | "groups": [ | 27 | "groups": [ | ||
28 | { | 28 | { | ||
29 | "description": "", | 29 | "description": "", | ||
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34 | "title": "Medical Imaging" | 34 | "title": "Medical Imaging" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "description": "", | 37 | "description": "", | ||
38 | "display_name": "Pneumothorax", | 38 | "display_name": "Pneumothorax", | ||
39 | "id": "242f9897-8105-47dc-a842-b745ba76120b", | 39 | "id": "242f9897-8105-47dc-a842-b745ba76120b", | ||
40 | "image_display_url": "", | 40 | "image_display_url": "", | ||
41 | "name": "pneumothorax", | 41 | "name": "pneumothorax", | ||
42 | "title": "Pneumothorax" | 42 | "title": "Pneumothorax" | ||
43 | } | 43 | } | ||
44 | ], | 44 | ], | ||
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46 | "isopen": false, | 46 | "isopen": false, | ||
47 | "landing_page": | 47 | "landing_page": | ||
48 | "https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation", | 48 | "https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation", | ||
49 | "license_title": null, | 49 | "license_title": null, | ||
50 | "link_orkg": "", | 50 | "link_orkg": "", | ||
51 | "metadata_created": "2024-12-02T18:12:01.933086", | 51 | "metadata_created": "2024-12-02T18:12:01.933086", | ||
n | 52 | "metadata_modified": "2024-12-02T18:12:01.933093", | n | 52 | "metadata_modified": "2024-12-02T18:12:02.362502", |
53 | "name": "siim-acr-pneumothorax-segmentation-challenge", | 53 | "name": "siim-acr-pneumothorax-segmentation-challenge", | ||
54 | "notes": "The dataset used in this paper is the SIIM-ACR | 54 | "notes": "The dataset used in this paper is the SIIM-ACR | ||
55 | Pneumothorax Segmentation Challenge dataset, which contains 12,047 | 55 | Pneumothorax Segmentation Challenge dataset, which contains 12,047 | ||
56 | training images and 3,205 testing images.", | 56 | training images and 3,205 testing images.", | ||
n | 57 | "num_resources": 0, | n | 57 | "num_resources": 1, |
58 | "num_tags": 3, | 58 | "num_tags": 3, | ||
59 | "organization": { | 59 | "organization": { | ||
60 | "approval_status": "approved", | 60 | "approval_status": "approved", | ||
61 | "created": "2024-11-25T12:11:38.292601", | 61 | "created": "2024-11-25T12:11:38.292601", | ||
62 | "description": "", | 62 | "description": "", | ||
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64 | "image_url": "", | 64 | "image_url": "", | ||
65 | "is_organization": true, | 65 | "is_organization": true, | ||
66 | "name": "no-organization", | 66 | "name": "no-organization", | ||
67 | "state": "active", | 67 | "state": "active", | ||
68 | "title": "No Organization", | 68 | "title": "No Organization", | ||
69 | "type": "organization" | 69 | "type": "organization" | ||
70 | }, | 70 | }, | ||
71 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 71 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
72 | "private": false, | 72 | "private": false, | ||
73 | "relationships_as_object": [], | 73 | "relationships_as_object": [], | ||
74 | "relationships_as_subject": [], | 74 | "relationships_as_subject": [], | ||
t | 75 | "resources": [], | t | 75 | "resources": [ |
76 | { | ||||
77 | "cache_last_updated": null, | ||||
78 | "cache_url": null, | ||||
79 | "created": "2024-12-02T18:38:42", | ||||
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81 | "dcterms:title", | ||||
82 | "dcterms:accessRights", | ||||
83 | "dcterms:creator", | ||||
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86 | "dcterms:language", | ||||
87 | "dcterms:identifier", | ||||
88 | "dcat:theme", | ||||
89 | "dcterms:type", | ||||
90 | "dcat:keyword", | ||||
91 | "dcat:landingPage", | ||||
92 | "dcterms:hasVersion", | ||||
93 | "dcterms:format", | ||||
94 | "mls:task" | ||||
95 | ], | ||||
96 | "description": "The json representation of the dataset with its | ||||
97 | distributions based on DCAT.", | ||||
98 | "format": "JSON", | ||||
99 | "hash": "", | ||||
100 | "id": "f4e8bd29-b8f4-45d6-a47b-16b2a9477d7b", | ||||
101 | "last_modified": "2024-12-02T18:12:02.355616", | ||||
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103 | "mimetype": "application/json", | ||||
104 | "mimetype_inner": null, | ||||
105 | "name": "Original Metadata", | ||||
106 | "package_id": "5c77a9a2-66da-4ff1-bb9f-ea5b3aa29b51", | ||||
107 | "position": 0, | ||||
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109 | "size": 861, | ||||
110 | "state": "active", | ||||
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112 | resource/f4e8bd29-b8f4-45d6-a47b-16b2a9477d7b/download/metadata.json", | ||||
113 | "url_type": "upload" | ||||
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76 | "services_used_list": "", | 116 | "services_used_list": "", | ||
77 | "state": "active", | 117 | "state": "active", | ||
78 | "tags": [ | 118 | "tags": [ | ||
79 | { | 119 | { | ||
80 | "display_name": "chest X-ray", | 120 | "display_name": "chest X-ray", | ||
81 | "id": "f40987f6-7074-45b5-b197-d57edd7d2544", | 121 | "id": "f40987f6-7074-45b5-b197-d57edd7d2544", | ||
82 | "name": "chest X-ray", | 122 | "name": "chest X-ray", | ||
83 | "state": "active", | 123 | "state": "active", | ||
84 | "vocabulary_id": null | 124 | "vocabulary_id": null | ||
85 | }, | 125 | }, | ||
86 | { | 126 | { | ||
87 | "display_name": "medical imaging", | 127 | "display_name": "medical imaging", | ||
88 | "id": "6be48b99-5ab8-4cc5-ad1e-ac989c713f1b", | 128 | "id": "6be48b99-5ab8-4cc5-ad1e-ac989c713f1b", | ||
89 | "name": "medical imaging", | 129 | "name": "medical imaging", | ||
90 | "state": "active", | 130 | "state": "active", | ||
91 | "vocabulary_id": null | 131 | "vocabulary_id": null | ||
92 | }, | 132 | }, | ||
93 | { | 133 | { | ||
94 | "display_name": "pneumothorax", | 134 | "display_name": "pneumothorax", | ||
95 | "id": "08ce5629-0d86-4680-8e7e-bc4b8f2157c6", | 135 | "id": "08ce5629-0d86-4680-8e7e-bc4b8f2157c6", | ||
96 | "name": "pneumothorax", | 136 | "name": "pneumothorax", | ||
97 | "state": "active", | 137 | "state": "active", | ||
98 | "vocabulary_id": null | 138 | "vocabulary_id": null | ||
99 | } | 139 | } | ||
100 | ], | 140 | ], | ||
101 | "title": "SIIM-ACR Pneumothorax Segmentation Challenge", | 141 | "title": "SIIM-ACR Pneumothorax Segmentation Challenge", | ||
102 | "type": "dataset", | 142 | "type": "dataset", | ||
103 | "version": "" | 143 | "version": "" | ||
104 | } | 144 | } |