Changes
On December 2, 2024 at 6:00:50 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in DeepLesion -
Changed value of field
doi_date_published
to2024-12-02
in DeepLesion -
Added resource Original Metadata to DeepLesion
f | 1 | { | f | 1 | { |
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3 | "author": "Ke Yan", | 3 | "author": "Ke Yan", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.59275/j.melba.2022-e651" | 6 | "https://doi.org/10.59275/j.melba.2022-e651" | ||
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10 | "doi": "10.57702/3i0sgu0b", | 10 | "doi": "10.57702/3i0sgu0b", | ||
n | 11 | "doi_date_published": null, | n | 11 | "doi_date_published": "2024-12-02", |
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14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
15 | "extra_authors": [ | 15 | "extra_authors": [ | ||
16 | { | 16 | { | ||
17 | "extra_author": "Xiaosong Wang", | 17 | "extra_author": "Xiaosong Wang", | ||
18 | "orcid": "" | 18 | "orcid": "" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "extra_author": "Le Lu", | 21 | "extra_author": "Le Lu", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Ronald M Summers", | 25 | "extra_author": "Ronald M Summers", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | } | 27 | } | ||
28 | ], | 28 | ], | ||
29 | "groups": [ | 29 | "groups": [ | ||
30 | { | 30 | { | ||
31 | "description": "", | 31 | "description": "", | ||
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35 | "name": "ct-images", | 35 | "name": "ct-images", | ||
36 | "title": "CT Images" | 36 | "title": "CT Images" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "description": "", | 39 | "description": "", | ||
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42 | "image_display_url": "", | 42 | "image_display_url": "", | ||
43 | "name": "medical-image-detection", | 43 | "name": "medical-image-detection", | ||
44 | "title": "Medical Image Detection" | 44 | "title": "Medical Image Detection" | ||
45 | }, | 45 | }, | ||
46 | { | 46 | { | ||
47 | "description": "", | 47 | "description": "", | ||
48 | "display_name": "Medical Imaging", | 48 | "display_name": "Medical Imaging", | ||
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50 | "image_display_url": "", | 50 | "image_display_url": "", | ||
51 | "name": "medical-imaging", | 51 | "name": "medical-imaging", | ||
52 | "title": "Medical Imaging" | 52 | "title": "Medical Imaging" | ||
53 | } | 53 | } | ||
54 | ], | 54 | ], | ||
55 | "id": "a2f48c33-5df6-4e32-a040-6c59c220d67e", | 55 | "id": "a2f48c33-5df6-4e32-a040-6c59c220d67e", | ||
56 | "isopen": false, | 56 | "isopen": false, | ||
57 | "landing_page": "https://arxiv.org/abs/1710.04540", | 57 | "landing_page": "https://arxiv.org/abs/1710.04540", | ||
58 | "license_title": null, | 58 | "license_title": null, | ||
59 | "link_orkg": "", | 59 | "link_orkg": "", | ||
60 | "metadata_created": "2024-12-02T18:00:48.839598", | 60 | "metadata_created": "2024-12-02T18:00:48.839598", | ||
n | 61 | "metadata_modified": "2024-12-02T18:00:48.839604", | n | 61 | "metadata_modified": "2024-12-02T18:00:49.191343", |
62 | "name": "deeplesion", | 62 | "name": "deeplesion", | ||
63 | "notes": "The DeepLesion dataset is a large-scale dataset containing | 63 | "notes": "The DeepLesion dataset is a large-scale dataset containing | ||
64 | measurements and 2D bounding-boxes of over 32K lesions from a variety | 64 | measurements and 2D bounding-boxes of over 32K lesions from a variety | ||
65 | of body parts on computed tomography (CT) images.", | 65 | of body parts on computed tomography (CT) images.", | ||
n | 66 | "num_resources": 0, | n | 66 | "num_resources": 1, |
67 | "num_tags": 10, | 67 | "num_tags": 10, | ||
68 | "organization": { | 68 | "organization": { | ||
69 | "approval_status": "approved", | 69 | "approval_status": "approved", | ||
70 | "created": "2024-11-25T12:11:38.292601", | 70 | "created": "2024-11-25T12:11:38.292601", | ||
71 | "description": "", | 71 | "description": "", | ||
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73 | "image_url": "", | 73 | "image_url": "", | ||
74 | "is_organization": true, | 74 | "is_organization": true, | ||
75 | "name": "no-organization", | 75 | "name": "no-organization", | ||
76 | "state": "active", | 76 | "state": "active", | ||
77 | "title": "No Organization", | 77 | "title": "No Organization", | ||
78 | "type": "organization" | 78 | "type": "organization" | ||
79 | }, | 79 | }, | ||
80 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 80 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
81 | "private": false, | 81 | "private": false, | ||
82 | "relationships_as_object": [], | 82 | "relationships_as_object": [], | ||
83 | "relationships_as_subject": [], | 83 | "relationships_as_subject": [], | ||
t | 84 | "resources": [], | t | 84 | "resources": [ |
85 | { | ||||
86 | "cache_last_updated": null, | ||||
87 | "cache_url": null, | ||||
88 | "created": "2024-12-02T18:38:42", | ||||
89 | "data": [ | ||||
90 | "dcterms:title", | ||||
91 | "dcterms:accessRights", | ||||
92 | "dcterms:creator", | ||||
93 | "dcterms:description", | ||||
94 | "dcterms:issued", | ||||
95 | "dcterms:language", | ||||
96 | "dcterms:identifier", | ||||
97 | "dcat:theme", | ||||
98 | "dcterms:type", | ||||
99 | "dcat:keyword", | ||||
100 | "dcat:landingPage", | ||||
101 | "dcterms:hasVersion", | ||||
102 | "dcterms:format", | ||||
103 | "mls:task", | ||||
104 | "datacite:isDescribedBy" | ||||
105 | ], | ||||
106 | "description": "The json representation of the dataset with its | ||||
107 | distributions based on DCAT.", | ||||
108 | "format": "JSON", | ||||
109 | "hash": "", | ||||
110 | "id": "79549de7-ce9e-4653-b7e9-adf4e9906a30", | ||||
111 | "last_modified": "2024-12-02T18:00:49.183607", | ||||
112 | "metadata_modified": "2024-12-02T18:00:49.194057", | ||||
113 | "mimetype": "application/json", | ||||
114 | "mimetype_inner": null, | ||||
115 | "name": "Original Metadata", | ||||
116 | "package_id": "a2f48c33-5df6-4e32-a040-6c59c220d67e", | ||||
117 | "position": 0, | ||||
118 | "resource_type": null, | ||||
119 | "size": 1068, | ||||
120 | "state": "active", | ||||
121 | "url": | ||||
122 | resource/79549de7-ce9e-4653-b7e9-adf4e9906a30/download/metadata.json", | ||||
123 | "url_type": "upload" | ||||
124 | } | ||||
125 | ], | ||||
85 | "services_used_list": "", | 126 | "services_used_list": "", | ||
86 | "state": "active", | 127 | "state": "active", | ||
87 | "tags": [ | 128 | "tags": [ | ||
88 | { | 129 | { | ||
89 | "display_name": "CT Images", | 130 | "display_name": "CT Images", | ||
90 | "id": "01786c2d-9b59-4d6a-8c9d-f7a0a0cc1a0b", | 131 | "id": "01786c2d-9b59-4d6a-8c9d-f7a0a0cc1a0b", | ||
91 | "name": "CT Images", | 132 | "name": "CT Images", | ||
92 | "state": "active", | 133 | "state": "active", | ||
93 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
94 | }, | 135 | }, | ||
95 | { | 136 | { | ||
96 | "display_name": "Deep Learning", | 137 | "display_name": "Deep Learning", | ||
97 | "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | 138 | "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | ||
98 | "name": "Deep Learning", | 139 | "name": "Deep Learning", | ||
99 | "state": "active", | 140 | "state": "active", | ||
100 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
101 | }, | 142 | }, | ||
102 | { | 143 | { | ||
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106 | "state": "active", | 147 | "state": "active", | ||
107 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
108 | }, | 149 | }, | ||
109 | { | 150 | { | ||
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128 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
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141 | "state": "active", | 182 | "state": "active", | ||
142 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
143 | }, | 184 | }, | ||
144 | { | 185 | { | ||
145 | "display_name": "segmentation", | 186 | "display_name": "segmentation", | ||
146 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | 187 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | ||
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148 | "state": "active", | 189 | "state": "active", | ||
149 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
150 | }, | 191 | }, | ||
151 | { | 192 | { | ||
152 | "display_name": "tagging", | 193 | "display_name": "tagging", | ||
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157 | } | 198 | } | ||
158 | ], | 199 | ], | ||
159 | "title": "DeepLesion", | 200 | "title": "DeepLesion", | ||
160 | "type": "dataset", | 201 | "type": "dataset", | ||
161 | "version": "" | 202 | "version": "" | ||
162 | } | 203 | } |