Changes
On December 16, 2024 at 6:46:39 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in ChestX-ray8 -
Changed value of field
doi_date_published
to2024-12-16
in ChestX-ray8 -
Added resource Original Metadata to ChestX-ray8
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "X. Wang", | 3 | "author": "X. Wang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1906.09354", | 6 | "https://doi.org/10.48550/arXiv.1906.09354", | ||
7 | "https://doi.org/10.48550/arXiv.2211.04279", | 7 | "https://doi.org/10.48550/arXiv.2211.04279", | ||
8 | "https://doi.org/10.48550/arXiv.2303.15038", | 8 | "https://doi.org/10.48550/arXiv.2303.15038", | ||
9 | "https://doi.org/10.48550/arXiv.2204.10505", | 9 | "https://doi.org/10.48550/arXiv.2204.10505", | ||
10 | "https://doi.org/10.48550/arXiv.2407.18114", | 10 | "https://doi.org/10.48550/arXiv.2407.18114", | ||
11 | "https://doi.org/10.1109/CVPR.2017.369", | 11 | "https://doi.org/10.1109/CVPR.2017.369", | ||
12 | "https://doi.org/10.48550/arXiv.2111.08168", | 12 | "https://doi.org/10.48550/arXiv.2111.08168", | ||
13 | "https://doi.org/10.1145/3233547.3233573" | 13 | "https://doi.org/10.1145/3233547.3233573" | ||
14 | ], | 14 | ], | ||
15 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 15 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
16 | "defined_in": "https://doi.org/10.48550/arXiv.2210.03416", | 16 | "defined_in": "https://doi.org/10.48550/arXiv.2210.03416", | ||
17 | "doi": "10.57702/2xf341bl", | 17 | "doi": "10.57702/2xf341bl", | ||
n | 18 | "doi_date_published": null, | n | 18 | "doi_date_published": "2024-12-16", |
19 | "doi_publisher": "TIB", | 19 | "doi_publisher": "TIB", | ||
n | 20 | "doi_status": false, | n | 20 | "doi_status": true, |
21 | "domain": "https://service.tib.eu/ldmservice", | 21 | "domain": "https://service.tib.eu/ldmservice", | ||
22 | "extra_authors": [ | 22 | "extra_authors": [ | ||
23 | { | 23 | { | ||
24 | "extra_author": "Y. Peng", | 24 | "extra_author": "Y. Peng", | ||
25 | "orcid": "" | 25 | "orcid": "" | ||
26 | }, | 26 | }, | ||
27 | { | 27 | { | ||
28 | "extra_author": "L. Lu", | 28 | "extra_author": "L. Lu", | ||
29 | "orcid": "" | 29 | "orcid": "" | ||
30 | }, | 30 | }, | ||
31 | { | 31 | { | ||
32 | "extra_author": "Z. Lu", | 32 | "extra_author": "Z. Lu", | ||
33 | "orcid": "" | 33 | "orcid": "" | ||
34 | }, | 34 | }, | ||
35 | { | 35 | { | ||
36 | "extra_author": "M. Bagheri", | 36 | "extra_author": "M. Bagheri", | ||
37 | "orcid": "" | 37 | "orcid": "" | ||
38 | }, | 38 | }, | ||
39 | { | 39 | { | ||
40 | "extra_author": "R. M. Summers", | 40 | "extra_author": "R. M. Summers", | ||
41 | "orcid": "" | 41 | "orcid": "" | ||
42 | } | 42 | } | ||
43 | ], | 43 | ], | ||
44 | "groups": [ | 44 | "groups": [ | ||
45 | { | 45 | { | ||
46 | "description": "", | 46 | "description": "", | ||
47 | "display_name": "Chest X-ray", | 47 | "display_name": "Chest X-ray", | ||
48 | "id": "b32e4196-acf0-49a8-b3fb-22e7409866b4", | 48 | "id": "b32e4196-acf0-49a8-b3fb-22e7409866b4", | ||
49 | "image_display_url": "", | 49 | "image_display_url": "", | ||
50 | "name": "chest-x-ray", | 50 | "name": "chest-x-ray", | ||
51 | "title": "Chest X-ray" | 51 | "title": "Chest X-ray" | ||
52 | }, | 52 | }, | ||
53 | { | 53 | { | ||
54 | "description": "", | 54 | "description": "", | ||
55 | "display_name": "Computer Vision", | 55 | "display_name": "Computer Vision", | ||
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57 | "image_display_url": "", | 57 | "image_display_url": "", | ||
58 | "name": "computer-vision", | 58 | "name": "computer-vision", | ||
59 | "title": "Computer Vision" | 59 | "title": "Computer Vision" | ||
60 | }, | 60 | }, | ||
61 | { | 61 | { | ||
62 | "description": "", | 62 | "description": "", | ||
63 | "display_name": "Medical Imaging", | 63 | "display_name": "Medical Imaging", | ||
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65 | "image_display_url": "", | 65 | "image_display_url": "", | ||
66 | "name": "medical-imaging", | 66 | "name": "medical-imaging", | ||
67 | "title": "Medical Imaging" | 67 | "title": "Medical Imaging" | ||
68 | } | 68 | } | ||
69 | ], | 69 | ], | ||
70 | "id": "f1488831-34f9-4e68-a9fa-5e9a5e00767a", | 70 | "id": "f1488831-34f9-4e68-a9fa-5e9a5e00767a", | ||
71 | "isopen": false, | 71 | "isopen": false, | ||
72 | "landing_page": "https://www.kaggle.com/ChestX-ray8", | 72 | "landing_page": "https://www.kaggle.com/ChestX-ray8", | ||
73 | "license_title": null, | 73 | "license_title": null, | ||
74 | "link_orkg": "", | 74 | "link_orkg": "", | ||
75 | "metadata_created": "2024-12-16T18:46:38.201133", | 75 | "metadata_created": "2024-12-16T18:46:38.201133", | ||
n | 76 | "metadata_modified": "2024-12-16T18:46:38.201141", | n | 76 | "metadata_modified": "2024-12-16T18:46:38.609846", |
77 | "name": "chestx-ray8", | 77 | "name": "chestx-ray8", | ||
78 | "notes": "A hospital-scale chest X-ray database, namely | 78 | "notes": "A hospital-scale chest X-ray database, namely | ||
79 | \u201cChestX-ray8\u201d, which comprises 108,948 frontal-view X-ray | 79 | \u201cChestX-ray8\u201d, which comprises 108,948 frontal-view X-ray | ||
80 | images of 32,717 unique patients with the text-mined eight common | 80 | images of 32,717 unique patients with the text-mined eight common | ||
81 | disease labels.", | 81 | disease labels.", | ||
n | 82 | "num_resources": 0, | n | 82 | "num_resources": 1, |
83 | "num_tags": 18, | 83 | "num_tags": 18, | ||
84 | "organization": { | 84 | "organization": { | ||
85 | "approval_status": "approved", | 85 | "approval_status": "approved", | ||
86 | "created": "2024-11-25T12:11:38.292601", | 86 | "created": "2024-11-25T12:11:38.292601", | ||
87 | "description": "", | 87 | "description": "", | ||
88 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 88 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
89 | "image_url": "", | 89 | "image_url": "", | ||
90 | "is_organization": true, | 90 | "is_organization": true, | ||
91 | "name": "no-organization", | 91 | "name": "no-organization", | ||
92 | "state": "active", | 92 | "state": "active", | ||
93 | "title": "No Organization", | 93 | "title": "No Organization", | ||
94 | "type": "organization" | 94 | "type": "organization" | ||
95 | }, | 95 | }, | ||
96 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 96 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
97 | "private": false, | 97 | "private": false, | ||
98 | "relationships_as_object": [], | 98 | "relationships_as_object": [], | ||
99 | "relationships_as_subject": [], | 99 | "relationships_as_subject": [], | ||
t | 100 | "resources": [], | t | 100 | "resources": [ |
101 | { | ||||
102 | "cache_last_updated": null, | ||||
103 | "cache_url": null, | ||||
104 | "created": "2024-12-16T18:25:37", | ||||
105 | "data": [ | ||||
106 | "dcterms:title", | ||||
107 | "dcterms:accessRights", | ||||
108 | "dcterms:creator", | ||||
109 | "dcterms:description", | ||||
110 | "dcterms:issued", | ||||
111 | "dcterms:language", | ||||
112 | "dcterms:identifier", | ||||
113 | "dcat:theme", | ||||
114 | "dcterms:type", | ||||
115 | "dcat:keyword", | ||||
116 | "dcat:landingPage", | ||||
117 | "dcterms:hasVersion", | ||||
118 | "dcterms:format", | ||||
119 | "mls:task", | ||||
120 | "datacite:isDescribedBy" | ||||
121 | ], | ||||
122 | "description": "The json representation of the dataset with its | ||||
123 | distributions based on DCAT.", | ||||
124 | "format": "JSON", | ||||
125 | "hash": "", | ||||
126 | "id": "8636ab8b-9280-4c78-b8f7-a7bab556e7b6", | ||||
127 | "last_modified": "2024-12-16T18:46:38.599826", | ||||
128 | "metadata_modified": "2024-12-16T18:46:38.613056", | ||||
129 | "mimetype": "application/json", | ||||
130 | "mimetype_inner": null, | ||||
131 | "name": "Original Metadata", | ||||
132 | "package_id": "f1488831-34f9-4e68-a9fa-5e9a5e00767a", | ||||
133 | "position": 0, | ||||
134 | "resource_type": null, | ||||
135 | "size": 1597, | ||||
136 | "state": "active", | ||||
137 | "url": | ||||
138 | resource/8636ab8b-9280-4c78-b8f7-a7bab556e7b6/download/metadata.json", | ||||
139 | "url_type": "upload" | ||||
140 | } | ||||
141 | ], | ||||
101 | "services_used_list": "", | 142 | "services_used_list": "", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "tags": [ | 144 | "tags": [ | ||
104 | { | 145 | { | ||
105 | "display_name": "Cardiomegaly", | 146 | "display_name": "Cardiomegaly", | ||
106 | "id": "4cc8ba1b-3aa6-4aec-bd90-ac2477e13f2c", | 147 | "id": "4cc8ba1b-3aa6-4aec-bd90-ac2477e13f2c", | ||
107 | "name": "Cardiomegaly", | 148 | "name": "Cardiomegaly", | ||
108 | "state": "active", | 149 | "state": "active", | ||
109 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
110 | }, | 151 | }, | ||
111 | { | 152 | { | ||
112 | "display_name": "Chest X-ray", | 153 | "display_name": "Chest X-ray", | ||
113 | "id": "34351099-da7f-488b-a959-3106074c0680", | 154 | "id": "34351099-da7f-488b-a959-3106074c0680", | ||
114 | "name": "Chest X-ray", | 155 | "name": "Chest X-ray", | ||
115 | "state": "active", | 156 | "state": "active", | ||
116 | "vocabulary_id": null | 157 | "vocabulary_id": null | ||
117 | }, | 158 | }, | ||
118 | { | 159 | { | ||
119 | "display_name": "Classification", | 160 | "display_name": "Classification", | ||
120 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | 161 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | ||
121 | "name": "Classification", | 162 | "name": "Classification", | ||
122 | "state": "active", | 163 | "state": "active", | ||
123 | "vocabulary_id": null | 164 | "vocabulary_id": null | ||
124 | }, | 165 | }, | ||
125 | { | 166 | { | ||
126 | "display_name": "Dataset", | 167 | "display_name": "Dataset", | ||
127 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | 168 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | ||
128 | "name": "Dataset", | 169 | "name": "Dataset", | ||
129 | "state": "active", | 170 | "state": "active", | ||
130 | "vocabulary_id": null | 171 | "vocabulary_id": null | ||
131 | }, | 172 | }, | ||
132 | { | 173 | { | ||
133 | "display_name": "Deep learning", | 174 | "display_name": "Deep learning", | ||
134 | "id": "a8638dc7-b339-4a0b-8daa-ef73a49e2688", | 175 | "id": "a8638dc7-b339-4a0b-8daa-ef73a49e2688", | ||
135 | "name": "Deep learning", | 176 | "name": "Deep learning", | ||
136 | "state": "active", | 177 | "state": "active", | ||
137 | "vocabulary_id": null | 178 | "vocabulary_id": null | ||
138 | }, | 179 | }, | ||
139 | { | 180 | { | ||
140 | "display_name": "Disease Detection", | 181 | "display_name": "Disease Detection", | ||
141 | "id": "f5c42694-e471-4822-9a39-723d39163a34", | 182 | "id": "f5c42694-e471-4822-9a39-723d39163a34", | ||
142 | "name": "Disease Detection", | 183 | "name": "Disease Detection", | ||
143 | "state": "active", | 184 | "state": "active", | ||
144 | "vocabulary_id": null | 185 | "vocabulary_id": null | ||
145 | }, | 186 | }, | ||
146 | { | 187 | { | ||
147 | "display_name": "Medical Images", | 188 | "display_name": "Medical Images", | ||
148 | "id": "3ab7f2d6-b5a6-453f-9e48-7e49585d75bb", | 189 | "id": "3ab7f2d6-b5a6-453f-9e48-7e49585d75bb", | ||
149 | "name": "Medical Images", | 190 | "name": "Medical Images", | ||
150 | "state": "active", | 191 | "state": "active", | ||
151 | "vocabulary_id": null | 192 | "vocabulary_id": null | ||
152 | }, | 193 | }, | ||
153 | { | 194 | { | ||
154 | "display_name": "Medical Imaging", | 195 | "display_name": "Medical Imaging", | ||
155 | "id": "10261ea5-4420-472c-8004-e29d20a88fb8", | 196 | "id": "10261ea5-4420-472c-8004-e29d20a88fb8", | ||
156 | "name": "Medical Imaging", | 197 | "name": "Medical Imaging", | ||
157 | "state": "active", | 198 | "state": "active", | ||
158 | "vocabulary_id": null | 199 | "vocabulary_id": null | ||
159 | }, | 200 | }, | ||
160 | { | 201 | { | ||
161 | "display_name": "Medical imaging", | 202 | "display_name": "Medical imaging", | ||
162 | "id": "908e1e3f-6868-417d-a95a-0aed5609076b", | 203 | "id": "908e1e3f-6868-417d-a95a-0aed5609076b", | ||
163 | "name": "Medical imaging", | 204 | "name": "Medical imaging", | ||
164 | "state": "active", | 205 | "state": "active", | ||
165 | "vocabulary_id": null | 206 | "vocabulary_id": null | ||
166 | }, | 207 | }, | ||
167 | { | 208 | { | ||
168 | "display_name": "Pneumonia", | 209 | "display_name": "Pneumonia", | ||
169 | "id": "298aed85-a1ad-4f22-a98e-440a6692c5d8", | 210 | "id": "298aed85-a1ad-4f22-a98e-440a6692c5d8", | ||
170 | "name": "Pneumonia", | 211 | "name": "Pneumonia", | ||
171 | "state": "active", | 212 | "state": "active", | ||
172 | "vocabulary_id": null | 213 | "vocabulary_id": null | ||
173 | }, | 214 | }, | ||
174 | { | 215 | { | ||
175 | "display_name": "Thoracic Diseases", | 216 | "display_name": "Thoracic Diseases", | ||
176 | "id": "9543f827-f2fe-4d46-814e-09a5b61e3283", | 217 | "id": "9543f827-f2fe-4d46-814e-09a5b61e3283", | ||
177 | "name": "Thoracic Diseases", | 218 | "name": "Thoracic Diseases", | ||
178 | "state": "active", | 219 | "state": "active", | ||
179 | "vocabulary_id": null | 220 | "vocabulary_id": null | ||
180 | }, | 221 | }, | ||
181 | { | 222 | { | ||
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183 | "id": "3d82d01e-d1a9-4317-b676-74474aa647dd", | 224 | "id": "3d82d01e-d1a9-4317-b676-74474aa647dd", | ||
184 | "name": "Thoracic disease", | 225 | "name": "Thoracic disease", | ||
185 | "state": "active", | 226 | "state": "active", | ||
186 | "vocabulary_id": null | 227 | "vocabulary_id": null | ||
187 | }, | 228 | }, | ||
188 | { | 229 | { | ||
189 | "display_name": "Weakly-Supervised Learning", | 230 | "display_name": "Weakly-Supervised Learning", | ||
190 | "id": "38084c25-2469-40e2-91a1-0c4ea361e2e7", | 231 | "id": "38084c25-2469-40e2-91a1-0c4ea361e2e7", | ||
191 | "name": "Weakly-Supervised Learning", | 232 | "name": "Weakly-Supervised Learning", | ||
192 | "state": "active", | 233 | "state": "active", | ||
193 | "vocabulary_id": null | 234 | "vocabulary_id": null | ||
194 | }, | 235 | }, | ||
195 | { | 236 | { | ||
196 | "display_name": "chest X-ray", | 237 | "display_name": "chest X-ray", | ||
197 | "id": "f40987f6-7074-45b5-b197-d57edd7d2544", | 238 | "id": "f40987f6-7074-45b5-b197-d57edd7d2544", | ||
198 | "name": "chest X-ray", | 239 | "name": "chest X-ray", | ||
199 | "state": "active", | 240 | "state": "active", | ||
200 | "vocabulary_id": null | 241 | "vocabulary_id": null | ||
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202 | { | 243 | { | ||
203 | "display_name": "chest x-ray", | 244 | "display_name": "chest x-ray", | ||
204 | "id": "f6517a97-e23c-4b36-a895-61186584c5e7", | 245 | "id": "f6517a97-e23c-4b36-a895-61186584c5e7", | ||
205 | "name": "chest x-ray", | 246 | "name": "chest x-ray", | ||
206 | "state": "active", | 247 | "state": "active", | ||
207 | "vocabulary_id": null | 248 | "vocabulary_id": null | ||
208 | }, | 249 | }, | ||
209 | { | 250 | { | ||
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211 | "id": "6ee5cb10-6bc0-456d-9d70-61df83a64e73", | 252 | "id": "6ee5cb10-6bc0-456d-9d70-61df83a64e73", | ||
212 | "name": "finding annotation", | 253 | "name": "finding annotation", | ||
213 | "state": "active", | 254 | "state": "active", | ||
214 | "vocabulary_id": null | 255 | "vocabulary_id": null | ||
215 | }, | 256 | }, | ||
216 | { | 257 | { | ||
217 | "display_name": "medical imaging", | 258 | "display_name": "medical imaging", | ||
218 | "id": "6be48b99-5ab8-4cc5-ad1e-ac989c713f1b", | 259 | "id": "6be48b99-5ab8-4cc5-ad1e-ac989c713f1b", | ||
219 | "name": "medical imaging", | 260 | "name": "medical imaging", | ||
220 | "state": "active", | 261 | "state": "active", | ||
221 | "vocabulary_id": null | 262 | "vocabulary_id": null | ||
222 | }, | 263 | }, | ||
223 | { | 264 | { | ||
224 | "display_name": "weakly-supervised learning", | 265 | "display_name": "weakly-supervised learning", | ||
225 | "id": "f9f216af-31a4-44c3-8dcc-35a128c4b8a6", | 266 | "id": "f9f216af-31a4-44c3-8dcc-35a128c4b8a6", | ||
226 | "name": "weakly-supervised learning", | 267 | "name": "weakly-supervised learning", | ||
227 | "state": "active", | 268 | "state": "active", | ||
228 | "vocabulary_id": null | 269 | "vocabulary_id": null | ||
229 | } | 270 | } | ||
230 | ], | 271 | ], | ||
231 | "title": "ChestX-ray8", | 272 | "title": "ChestX-ray8", | ||
232 | "type": "dataset", | 273 | "type": "dataset", | ||
233 | "version": "" | 274 | "version": "" | ||
234 | } | 275 | } |