Changes
On December 2, 2024 at 10:59:03 PM UTC,
admin:
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Changed title to Chexpert (previously CheXpert)
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Set author of Chexpert to Prashnna Kumar Gyawali (previously Irvin, J.)
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Updated description of Chexpert from
A publicly-available chest radiograph dataset consisting of 224,315 lateral and frontal chest radiographs annotated for 14 findings with their presence, absence, or uncertain presence.
toThe Chexpert dataset is a large chest radiograph dataset with uncertainty labels and expert comparison.
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Removed the following tags from Chexpert
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Added the following tags to Chexpert
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.1912.12115
in Chexpert -
Changed value of field
extra_authors
to[{'extra_author': 'Zhiyuan Li', 'orcid': ''}, {'extra_author': 'Sandesh Ghimire', 'orcid': ''}, {'extra_author': 'Linwei Wang', 'orcid': ''}]
in Chexpert -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2009.10132']
in Chexpert -
Changed value of field
landing_page
tohttps://arxiv.org/abs/1901.07031
in Chexpert -
Deleted resource Original Metadata from Chexpert
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "Irvin, J.", | n | 3 | "author": "Prashnna Kumar Gyawali", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| n | 6 | "https://doi.org/10.48550/arXiv.2309.17123", | n | 6 | "https://doi.org/10.48550/arXiv.2009.10132" |
| 7 | "https://doi.org/10.48550/arXiv.2103.06220", | ||||
| 8 | "https://doi.org/10.48550/arXiv.2405.11315", | ||||
| 9 | "https://doi.org/10.48550/arXiv.2104.00793", | ||||
| 10 | "https://doi.org/10.48550/arXiv.1909.08058", | ||||
| 11 | "https://doi.org/10.1002/widm.1483" | ||||
| 12 | ], | 7 | ], | ||
| 13 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| n | 14 | "defined_in": "https://doi.org/10.48550/arXiv.2402.00912", | n | 9 | "defined_in": "https://doi.org/10.48550/arXiv.1912.12115", |
| 15 | "doi": "10.57702/ektrjcoj", | 10 | "doi": "10.57702/ektrjcoj", | ||
| 16 | "doi_date_published": "2024-11-25", | 11 | "doi_date_published": "2024-11-25", | ||
| 17 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
| 18 | "doi_status": true, | 13 | "doi_status": true, | ||
| 19 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
| 20 | "extra_authors": [ | 15 | "extra_authors": [ | ||
| 21 | { | 16 | { | ||
| n | 22 | "extra_author": "Peng, Y.", | n | 17 | "extra_author": "Zhiyuan Li", |
| 23 | "orcid": "" | 18 | "orcid": "" | ||
| 24 | }, | 19 | }, | ||
| 25 | { | 20 | { | ||
| n | 26 | "extra_author": "Bustos, A.", | n | 21 | "extra_author": "Sandesh Ghimire", |
| 27 | "orcid": "" | 22 | "orcid": "" | ||
| 28 | }, | 23 | }, | ||
| 29 | { | 24 | { | ||
| n | 30 | "extra_author": "Pertusa, A.", | n | 25 | "extra_author": "Linwei Wang", |
| 31 | "orcid": "" | ||||
| 32 | }, | ||||
| 33 | { | ||||
| 34 | "extra_author": "Salinas, J.-M.", | ||||
| 35 | "orcid": "" | ||||
| 36 | }, | ||||
| 37 | { | ||||
| 38 | "extra_author": "De La Iglesia-Vaya, M.", | ||||
| 39 | "orcid": "" | 26 | "orcid": "" | ||
| 40 | } | 27 | } | ||
| 41 | ], | 28 | ], | ||
| 42 | "groups": [ | 29 | "groups": [ | ||
| 43 | { | 30 | { | ||
| 44 | "description": "", | 31 | "description": "", | ||
| n | 45 | "display_name": "Anomaly Detection", | n | 32 | "display_name": "Chest X-ray Analysis", |
| 46 | "id": "469caeeb-2eee-4858-a0f3-692b4da09dfe", | 33 | "id": "e5aac87d-a56f-439f-9900-cb6669362053", | ||
| 47 | "image_display_url": "", | 34 | "image_display_url": "", | ||
| n | 48 | "name": "anomaly-detection", | n | 35 | "name": "chest-x-ray-analysis", |
| 49 | "title": "Anomaly Detection" | 36 | "title": "Chest X-ray Analysis" | ||
| 50 | }, | 37 | }, | ||
| 51 | { | 38 | { | ||
| 52 | "description": "", | 39 | "description": "", | ||
| n | 53 | "display_name": "Chest Radiography", | n | 40 | "display_name": "Chest X-ray diagnosis", |
| 54 | "id": "53c24efe-4958-4e91-a1ad-80d466faf20d", | 41 | "id": "0b342e46-03d2-48f5-8b22-3520f49d7d82", | ||
| 55 | "image_display_url": "", | 42 | "image_display_url": "", | ||
| n | 56 | "name": "chest-radiography", | n | ||
| 57 | "title": "Chest Radiography" | ||||
| 58 | }, | ||||
| 59 | { | ||||
| 60 | "description": "", | ||||
| 61 | "display_name": "Chest X-ray", | ||||
| 62 | "id": "b32e4196-acf0-49a8-b3fb-22e7409866b4", | ||||
| 63 | "image_display_url": "", | ||||
| 64 | "name": "chest-x-ray", | 43 | "name": "chest-x-ray-diagnosis", | ||
| 65 | "title": "Chest X-ray" | 44 | "title": "Chest X-ray diagnosis" | ||
| 66 | }, | ||||
| 67 | { | ||||
| 68 | "description": "", | ||||
| 69 | "display_name": "Computer Vision", | ||||
| 70 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||||
| 71 | "image_display_url": "", | ||||
| 72 | "name": "computer-vision", | ||||
| 73 | "title": "Computer Vision" | ||||
| 74 | }, | ||||
| 75 | { | ||||
| 76 | "description": "", | ||||
| 77 | "display_name": "Medical Image Analysis", | ||||
| 78 | "id": "2f8bf60c-dbda-4650-b6f0-ee38a7549438", | ||||
| 79 | "image_display_url": "", | ||||
| 80 | "name": "medical-image-analysis", | ||||
| 81 | "title": "Medical Image Analysis" | ||||
| 82 | }, | 45 | }, | ||
| 83 | { | 46 | { | ||
| 84 | "description": "", | 47 | "description": "", | ||
| 85 | "display_name": "Medical Imaging", | 48 | "display_name": "Medical Imaging", | ||
| 86 | "id": "b86e8f52-a230-44ce-b290-7823c9f6a877", | 49 | "id": "b86e8f52-a230-44ce-b290-7823c9f6a877", | ||
| 87 | "image_display_url": "", | 50 | "image_display_url": "", | ||
| 88 | "name": "medical-imaging", | 51 | "name": "medical-imaging", | ||
| 89 | "title": "Medical Imaging" | 52 | "title": "Medical Imaging" | ||
| n | 90 | }, | n | ||
| 91 | { | ||||
| 92 | "description": "", | ||||
| 93 | "display_name": "Radiology", | ||||
| 94 | "id": "b86d429c-0457-42f5-92e2-e2029584eb7e", | ||||
| 95 | "image_display_url": "", | ||||
| 96 | "name": "radiology", | ||||
| 97 | "title": "Radiology" | ||||
| 98 | } | 53 | } | ||
| 99 | ], | 54 | ], | ||
| 100 | "id": "f2c71422-2bb1-42ac-bc18-6f39c97a1947", | 55 | "id": "f2c71422-2bb1-42ac-bc18-6f39c97a1947", | ||
| 101 | "isopen": false, | 56 | "isopen": false, | ||
| n | 102 | "landing_page": | n | 57 | "landing_page": "https://arxiv.org/abs/1901.07031", |
| 103 | "https://stanfordmlgroup.github.io/competitions/chexpert/", | ||||
| 104 | "license_title": null, | 58 | "license_title": null, | ||
| 105 | "link_orkg": "", | 59 | "link_orkg": "", | ||
| 106 | "metadata_created": "2024-11-25T14:19:37.379993", | 60 | "metadata_created": "2024-11-25T14:19:37.379993", | ||
| n | 107 | "metadata_modified": "2024-12-02T17:43:35.975500", | n | 61 | "metadata_modified": "2024-12-02T22:59:02.986041", |
| 108 | "name": "chexpert", | 62 | "name": "chexpert", | ||
| n | 109 | "notes": "A publicly-available chest radiograph dataset consisting | n | 63 | "notes": "The Chexpert dataset is a large chest radiograph dataset |
| 110 | of 224,315 lateral and frontal chest radiographs annotated for 14 | 64 | with uncertainty labels and expert comparison.", | ||
| 111 | findings with their presence, absence, or uncertain presence.", | ||||
| 112 | "num_resources": 1, | 65 | "num_resources": 0, | ||
| 113 | "num_tags": 19, | 66 | "num_tags": 9, | ||
| 114 | "organization": { | 67 | "organization": { | ||
| 115 | "approval_status": "approved", | 68 | "approval_status": "approved", | ||
| 116 | "created": "2024-11-25T12:11:38.292601", | 69 | "created": "2024-11-25T12:11:38.292601", | ||
| 117 | "description": "", | 70 | "description": "", | ||
| 118 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 71 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 119 | "image_url": "", | 72 | "image_url": "", | ||
| 120 | "is_organization": true, | 73 | "is_organization": true, | ||
| 121 | "name": "no-organization", | 74 | "name": "no-organization", | ||
| 122 | "state": "active", | 75 | "state": "active", | ||
| 123 | "title": "No Organization", | 76 | "title": "No Organization", | ||
| 124 | "type": "organization" | 77 | "type": "organization" | ||
| 125 | }, | 78 | }, | ||
| 126 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 79 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 127 | "private": false, | 80 | "private": false, | ||
| 128 | "relationships_as_object": [], | 81 | "relationships_as_object": [], | ||
| 129 | "relationships_as_subject": [], | 82 | "relationships_as_subject": [], | ||
| n | 130 | "resources": [ | n | 83 | "resources": [], |
| 131 | { | ||||
| 132 | "cache_last_updated": null, | ||||
| 133 | "cache_url": null, | ||||
| 134 | "created": "2024-12-02T18:38:42", | ||||
| 135 | "data": [ | ||||
| 136 | "dcterms:title", | ||||
| 137 | "dcterms:accessRights", | ||||
| 138 | "dcterms:creator", | ||||
| 139 | "dcterms:description", | ||||
| 140 | "dcterms:issued", | ||||
| 141 | "dcterms:language", | ||||
| 142 | "dcterms:identifier", | ||||
| 143 | "dcat:theme", | ||||
| 144 | "dcterms:type", | ||||
| 145 | "dcat:keyword", | ||||
| 146 | "dcat:landingPage", | ||||
| 147 | "dcterms:hasVersion", | ||||
| 148 | "dcterms:format", | ||||
| 149 | "mls:task", | ||||
| 150 | "datacite:isDescribedBy" | ||||
| 151 | ], | ||||
| 152 | "description": "The json representation of the dataset with its | ||||
| 153 | distributions based on DCAT.", | ||||
| 154 | "format": "JSON", | ||||
| 155 | "hash": "", | ||||
| 156 | "id": "554faa5b-477d-4c23-b5fa-2a7984ef74a0", | ||||
| 157 | "last_modified": "2024-12-02T17:43:35.965886", | ||||
| 158 | "metadata_modified": "2024-12-02T17:43:35.978476", | ||||
| 159 | "mimetype": "application/json", | ||||
| 160 | "mimetype_inner": null, | ||||
| 161 | "name": "Original Metadata", | ||||
| 162 | "package_id": "f2c71422-2bb1-42ac-bc18-6f39c97a1947", | ||||
| 163 | "position": 0, | ||||
| 164 | "resource_type": null, | ||||
| 165 | "size": 1721, | ||||
| 166 | "state": "active", | ||||
| 167 | "url": | ||||
| 168 | resource/554faa5b-477d-4c23-b5fa-2a7984ef74a0/download/metadata.json", | ||||
| 169 | "url_type": "upload" | ||||
| 170 | } | ||||
| 171 | ], | ||||
| 172 | "services_used_list": "", | 84 | "services_used_list": "", | ||
| 173 | "state": "active", | 85 | "state": "active", | ||
| 174 | "tags": [ | 86 | "tags": [ | ||
| 175 | { | 87 | { | ||
| n | 176 | "display_name": "CheXpert", | n | 88 | "display_name": "Chest X-ray", |
| 177 | "id": "65db2d0c-4e49-450a-bd65-00e8dc9fa231", | 89 | "id": "34351099-da7f-488b-a959-3106074c0680", | ||
| 178 | "name": "CheXpert", | 90 | "name": "Chest X-ray", | ||
| 179 | "state": "active", | 91 | "state": "active", | ||
| 180 | "vocabulary_id": null | 92 | "vocabulary_id": null | ||
| 181 | }, | 93 | }, | ||
| 182 | { | 94 | { | ||
| n | 183 | "display_name": "Chest X-ray", | n | 95 | "display_name": "Chexpert", |
| 184 | "id": "34351099-da7f-488b-a959-3106074c0680", | 96 | "id": "cf463fff-e1b6-4884-b7e3-8b5dfeaf8ab1", | ||
| 185 | "name": "Chest X-ray", | 97 | "name": "Chexpert", | ||
| 186 | "state": "active", | 98 | "state": "active", | ||
| 187 | "vocabulary_id": null | 99 | "vocabulary_id": null | ||
| 188 | }, | 100 | }, | ||
| 189 | { | 101 | { | ||
| 190 | "display_name": "Medical Imaging", | 102 | "display_name": "Medical Imaging", | ||
| 191 | "id": "10261ea5-4420-472c-8004-e29d20a88fb8", | 103 | "id": "10261ea5-4420-472c-8004-e29d20a88fb8", | ||
| 192 | "name": "Medical Imaging", | 104 | "name": "Medical Imaging", | ||
| 193 | "state": "active", | 105 | "state": "active", | ||
| 194 | "vocabulary_id": null | 106 | "vocabulary_id": null | ||
| 195 | }, | 107 | }, | ||
| 196 | { | 108 | { | ||
| n | 197 | "display_name": "Radiologic Reports", | n | 109 | "display_name": "Semi-supervised Learning", |
| 198 | "id": "a5874258-f076-480e-8247-134ea483629d", | 110 | "id": "8beffbec-e8a0-46a4-8dc2-bc25f6b10b22", | ||
| 199 | "name": "Radiologic Reports", | 111 | "name": "Semi-supervised Learning", | ||
| 200 | "state": "active", | ||||
| 201 | "vocabulary_id": null | ||||
| 202 | }, | ||||
| 203 | { | ||||
| 204 | "display_name": "Uncertainty", | ||||
| 205 | "id": "e4dc770a-5b38-4e7a-8d32-986a7091c5ce", | ||||
| 206 | "name": "Uncertainty", | ||||
| 207 | "state": "active", | ||||
| 208 | "vocabulary_id": null | ||||
| 209 | }, | ||||
| 210 | { | ||||
| 211 | "display_name": "anomaly detection", | ||||
| 212 | "id": "0b971f39-5ef1-4478-a9bd-e9250e956e2d", | ||||
| 213 | "name": "anomaly detection", | ||||
| 214 | "state": "active", | 112 | "state": "active", | ||
| 215 | "vocabulary_id": null | 113 | "vocabulary_id": null | ||
| 216 | }, | 114 | }, | ||
| 217 | { | 115 | { | ||
| 218 | "display_name": "chest X-ray", | 116 | "display_name": "chest X-ray", | ||
| 219 | "id": "f40987f6-7074-45b5-b197-d57edd7d2544", | 117 | "id": "f40987f6-7074-45b5-b197-d57edd7d2544", | ||
| 220 | "name": "chest X-ray", | 118 | "name": "chest X-ray", | ||
| 221 | "state": "active", | 119 | "state": "active", | ||
| 222 | "vocabulary_id": null | 120 | "vocabulary_id": null | ||
| 223 | }, | 121 | }, | ||
| 224 | { | 122 | { | ||
| n | 225 | "display_name": "chest radiographs", | n | ||
| 226 | "id": "78a232d7-79e3-42c7-81ff-c6bd6f2ad8a1", | ||||
| 227 | "name": "chest radiographs", | ||||
| 228 | "state": "active", | ||||
| 229 | "vocabulary_id": null | ||||
| 230 | }, | ||||
| 231 | { | ||||
| 232 | "display_name": "chest x-ray", | 123 | "display_name": "chest x-ray", | ||
| 233 | "id": "f6517a97-e23c-4b36-a895-61186584c5e7", | 124 | "id": "f6517a97-e23c-4b36-a895-61186584c5e7", | ||
| 234 | "name": "chest x-ray", | 125 | "name": "chest x-ray", | ||
| 235 | "state": "active", | 126 | "state": "active", | ||
| 236 | "vocabulary_id": null | 127 | "vocabulary_id": null | ||
| 237 | }, | 128 | }, | ||
| 238 | { | 129 | { | ||
| n | 239 | "display_name": "computer vision", | n | 130 | "display_name": "diagnosis", |
| 240 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | 131 | "id": "2fd6b49b-a353-4cda-9f01-e754b6382264", | ||
| 241 | "name": "computer vision", | 132 | "name": "diagnosis", | ||
| 242 | "state": "active", | 133 | "state": "active", | ||
| 243 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
| 244 | }, | 135 | }, | ||
| 245 | { | 136 | { | ||
| n | 246 | "display_name": "dataset", | n | 137 | "display_name": "expert comparison", |
| 247 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | 138 | "id": "3d13088a-2910-4a2b-a853-50483eb31c24", | ||
| 248 | "name": "dataset", | 139 | "name": "expert comparison", | ||
| 249 | "state": "active", | 140 | "state": "active", | ||
| 250 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
| 251 | }, | 142 | }, | ||
| 252 | { | 143 | { | ||
| n | 253 | "display_name": "few-shot learning", | n | ||
| 254 | "id": "9ed062d2-8c21-45d4-a7ff-78bf9cf0b117", | ||||
| 255 | "name": "few-shot learning", | ||||
| 256 | "state": "active", | ||||
| 257 | "vocabulary_id": null | ||||
| 258 | }, | ||||
| 259 | { | ||||
| 260 | "display_name": "healthcare", | 144 | "display_name": "uncertainty labels", | ||
| 261 | "id": "ddbb9ee0-aac2-47b8-ad23-092f6ef94b00", | 145 | "id": "8810b41b-6c25-4a16-b3aa-a360d6ce6842", | ||
| 262 | "name": "healthcare", | 146 | "name": "uncertainty labels", | ||
| 263 | "state": "active", | ||||
| 264 | "vocabulary_id": null | ||||
| 265 | }, | ||||
| 266 | { | ||||
| 267 | "display_name": "manually annotated reports", | ||||
| 268 | "id": "099581cf-6146-4fd7-80d6-cda9903b05d3", | ||||
| 269 | "name": "manually annotated reports", | ||||
| 270 | "state": "active", | ||||
| 271 | "vocabulary_id": null | ||||
| 272 | }, | ||||
| 273 | { | ||||
| 274 | "display_name": "medical image", | ||||
| 275 | "id": "a8c128c6-2829-41e0-a4c3-4a817d7c4add", | ||||
| 276 | "name": "medical image", | ||||
| 277 | "state": "active", | ||||
| 278 | "vocabulary_id": null | ||||
| 279 | }, | ||||
| 280 | { | ||||
| 281 | "display_name": "medical imaging", | ||||
| 282 | "id": "6be48b99-5ab8-4cc5-ad1e-ac989c713f1b", | ||||
| 283 | "name": "medical imaging", | ||||
| 284 | "state": "active", | ||||
| 285 | "vocabulary_id": null | ||||
| 286 | }, | ||||
| 287 | { | ||||
| 288 | "display_name": "multi-label classification", | ||||
| 289 | "id": "2fac7140-b23e-47d3-a365-91508193bfdb", | ||||
| 290 | "name": "multi-label classification", | ||||
| 291 | "state": "active", | ||||
| 292 | "vocabulary_id": null | ||||
| 293 | }, | ||||
| 294 | { | ||||
| 295 | "display_name": "radiology", | ||||
| 296 | "id": "25049a5a-4c2e-42e2-9d14-760be96eb340", | ||||
| 297 | "name": "radiology", | ||||
| 298 | "state": "active", | ||||
| 299 | "vocabulary_id": null | ||||
| 300 | }, | ||||
| 301 | { | ||||
| 302 | "display_name": "radiology report", | ||||
| 303 | "id": "81136682-6aed-4928-b87a-0acd0d4b210d", | ||||
| 304 | "name": "radiology report", | ||||
| 305 | "state": "active", | 147 | "state": "active", | ||
| 306 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
| 307 | } | 149 | } | ||
| 308 | ], | 150 | ], | ||
| t | 309 | "title": "CheXpert", | t | 151 | "title": "Chexpert", |
| 310 | "type": "dataset", | 152 | "type": "dataset", | ||
| 311 | "version": "" | 153 | "version": "" | ||
| 312 | } | 154 | } |