Changes
On March 31, 2025 at 3:52:23 PM +0800,
-
Removed field
needapply
from Brain CT Hemorrhage Public Dataset
f | 1 | { | f | 1 | { |
2 | "author": "", | 2 | "author": "", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
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19 | "title": "Brain Image" | 14 | "title": "Brain Image" | ||
20 | }, | 15 | }, | ||
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28 | "title": "Medical Image" | 23 | "title": "Medical Image" | ||
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32 | "isopen": true, | 27 | "isopen": true, | ||
33 | "license_id": "cc-by", | 28 | "license_id": "cc-by", | ||
34 | "license_title": "Creative Commons Attribution", | 29 | "license_title": "Creative Commons Attribution", | ||
35 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 30 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
36 | "maintainer": "Data tester", | 31 | "maintainer": "Data tester", | ||
37 | "maintainer_email": "medpacslin@gmail.com", | 32 | "maintainer_email": "medpacslin@gmail.com", | ||
38 | "metadata_created": "2023-03-28T02:39:48.272191", | 33 | "metadata_created": "2023-03-28T02:39:48.272191", | ||
t | 39 | "metadata_modified": "2024-09-30T07:20:30.606362", | t | 34 | "metadata_modified": "2025-03-31T07:52:23.884576", |
40 | "name": "ihd-ct", | 35 | "name": "ihd-ct", | ||
41 | "notes": "## Overview\r\n\r\nThis dataset, featured in the RSNA | 36 | "notes": "## Overview\r\n\r\nThis dataset, featured in the RSNA | ||
42 | Intracranial Hemorrhage Detection challenge on Kaggle, offers a rich | 37 | Intracranial Hemorrhage Detection challenge on Kaggle, offers a rich | ||
43 | collection of brain CT images. It is meticulously categorized into | 38 | collection of brain CT images. It is meticulously categorized into | ||
44 | seven distinct classes: 'none', 'epidural', 'intraparenchymal', | 39 | seven distinct classes: 'none', 'epidural', 'intraparenchymal', | ||
45 | 'intraventricular', 'subarachnoid', and 'subdural'. Each category is | 40 | 'intraventricular', 'subarachnoid', and 'subdural'. Each category is | ||
46 | represented by 1000 DICOM files, providing a balanced and extensive | 41 | represented by 1000 DICOM files, providing a balanced and extensive | ||
47 | dataset for analysis and machine learning applications.\r\n\r\n## | 42 | dataset for analysis and machine learning applications.\r\n\r\n## | ||
48 | Dataset Details\r\n\r\n__Categories__: None, Epidural, | 43 | Dataset Details\r\n\r\n__Categories__: None, Epidural, | ||
49 | Intraparenchymal, Intraventricular, Subarachnoid, | 44 | Intraparenchymal, Intraventricular, Subarachnoid, | ||
50 | Subdural\r\n\r\n__Files__: 1000 DICOM files per | 45 | Subdural\r\n\r\n__Files__: 1000 DICOM files per | ||
51 | category\r\n\r\n__Total Images__: 6000 DICOM files\r\n\r\n__Source__: | 46 | category\r\n\r\n__Total Images__: 6000 DICOM files\r\n\r\n__Source__: | ||
52 | RSNA Intracranial Hemorrhage Detection Challenge on Kaggle | 47 | RSNA Intracranial Hemorrhage Detection Challenge on Kaggle | ||
53 | competitions/rsna-intracranial-hemorrhage-detection/data)\r\n\r\n##Use | 48 | competitions/rsna-intracranial-hemorrhage-detection/data)\r\n\r\n##Use | ||
54 | Case##\r\n\r\nThis dataset is ideal for researchers and practitioners | 49 | Case##\r\n\r\nThis dataset is ideal for researchers and practitioners | ||
55 | working on medical imaging. It provides a substantial resource for | 50 | working on medical imaging. It provides a substantial resource for | ||
56 | developing and testing algorithms in the detection of various types of | 51 | developing and testing algorithms in the detection of various types of | ||
57 | intracranial hemorrhages.", | 52 | intracranial hemorrhages.", | ||
58 | "num_resources": 9, | 53 | "num_resources": 9, | ||
59 | "num_tags": 4, | 54 | "num_tags": 4, | ||
60 | "organization": { | 55 | "organization": { | ||
61 | "approval_status": "approved", | 56 | "approval_status": "approved", | ||
62 | "created": "2022-05-20T11:47:43.716226", | 57 | "created": "2022-05-20T11:47:43.716226", | ||
63 | "description": "National Yang Ming Chiao Tung University (NYCU; | 58 | "description": "National Yang Ming Chiao Tung University (NYCU; | ||
64 | Chinese: \u570b\u7acb\u967d\u660e\u4ea4\u901a\u5927\u5b78) is a public | 59 | Chinese: \u570b\u7acb\u967d\u660e\u4ea4\u901a\u5927\u5b78) is a public | ||
65 | research university in Taipei and Hsinchu, Taiwan. It was created in | 60 | research university in Taipei and Hsinchu, Taiwan. It was created in | ||
66 | 2021 through the merger of National Yang-Ming University and National | 61 | 2021 through the merger of National Yang-Ming University and National | ||
67 | Chiao Tung University. At present, there are 19 colleges, 74 | 62 | Chiao Tung University. At present, there are 19 colleges, 74 | ||
68 | university/college level research centers, and 1 hospital in Yilan.", | 63 | university/college level research centers, and 1 hospital in Yilan.", | ||
69 | "id": "c487e550-da81-44b7-98a1-0145f5eeafca", | 64 | "id": "c487e550-da81-44b7-98a1-0145f5eeafca", | ||
70 | "image_url": "2023-06-20-035407.721257bluenycuadj.png", | 65 | "image_url": "2023-06-20-035407.721257bluenycuadj.png", | ||
71 | "is_organization": true, | 66 | "is_organization": true, | ||
72 | "name": "national-yang-ming-chiao-tung-university", | 67 | "name": "national-yang-ming-chiao-tung-university", | ||
73 | "state": "active", | 68 | "state": "active", | ||
74 | "title": "National Yang Ming Chiao Tung University", | 69 | "title": "National Yang Ming Chiao Tung University", | ||
75 | "type": "organization" | 70 | "type": "organization" | ||
76 | }, | 71 | }, | ||
77 | "owner_org": "c487e550-da81-44b7-98a1-0145f5eeafca", | 72 | "owner_org": "c487e550-da81-44b7-98a1-0145f5eeafca", | ||
78 | "private": false, | 73 | "private": false, | ||
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80 | "relationships_as_subject": [], | 75 | "relationships_as_subject": [], | ||
81 | "resources": [ | 76 | "resources": [ | ||
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86 | "datastore_active": false, | 81 | "datastore_active": false, | ||
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157 | "description": "20230419_11:18 updated from NTUNHS raccoon, | 152 | "description": "20230419_11:18 updated from NTUNHS raccoon, | ||
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181 | "description": "20230419_11:18 updated from NTUNHS raccoon, | 176 | "description": "20230419_11:18 updated from NTUNHS raccoon, | ||
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229 | "description": "20230419_11:18 updated from NTUNHS raccoon, | 224 | "description": "20230419_11:18 updated from NTUNHS raccoon, | ||
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239 | "package_id": "4474dd3c-fdb0-4749-a163-8ffbced7905c", | 234 | "package_id": "4474dd3c-fdb0-4749-a163-8ffbced7905c", | ||
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241 | "resource_type": null, | 236 | "resource_type": null, | ||
242 | "size": 292123, | 237 | "size": 292123, | ||
243 | "state": "active", | 238 | "state": "active", | ||
244 | "url": | 239 | "url": | ||
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246 | "url_type": "upload" | 241 | "url_type": "upload" | ||
247 | }, | 242 | }, | ||
248 | { | 243 | { | ||
249 | "cache_last_updated": null, | 244 | "cache_last_updated": null, | ||
250 | "cache_url": null, | 245 | "cache_url": null, | ||
251 | "created": "2023-04-19T03:27:12.659647", | 246 | "created": "2023-04-19T03:27:12.659647", | ||
252 | "datastore_active": false, | 247 | "datastore_active": false, | ||
253 | "description": "20230419_11:18 updated from NTUNHS raccoon, | 248 | "description": "20230419_11:18 updated from NTUNHS raccoon, | ||
254 | subdural type\r\n\r\n", | 249 | subdural type\r\n\r\n", | ||
255 | "format": "CSV", | 250 | "format": "CSV", | ||
256 | "hash": "", | 251 | "hash": "", | ||
257 | "id": "b910a883-f6f3-48b5-9677-cc042f37e4ec", | 252 | "id": "b910a883-f6f3-48b5-9677-cc042f37e4ec", | ||
258 | "last_modified": "2023-04-19T03:27:12.624215", | 253 | "last_modified": "2023-04-19T03:27:12.624215", | ||
259 | "metadata_modified": "2023-04-19T03:27:35.915093", | 254 | "metadata_modified": "2023-04-19T03:27:35.915093", | ||
260 | "mimetype": "text/csv", | 255 | "mimetype": "text/csv", | ||
261 | "mimetype_inner": null, | 256 | "mimetype_inner": null, | ||
262 | "name": "ihd-ct_[type]_subdural", | 257 | "name": "ihd-ct_[type]_subdural", | ||
263 | "package_id": "4474dd3c-fdb0-4749-a163-8ffbced7905c", | 258 | "package_id": "4474dd3c-fdb0-4749-a163-8ffbced7905c", | ||
264 | "position": 7, | 259 | "position": 7, | ||
265 | "resource_type": null, | 260 | "resource_type": null, | ||
266 | "size": 288123, | 261 | "size": 288123, | ||
267 | "state": "active", | 262 | "state": "active", | ||
268 | "url": | 263 | "url": | ||
269 | /resource/b910a883-f6f3-48b5-9677-cc042f37e4ec/download/subdural.csv", | 264 | /resource/b910a883-f6f3-48b5-9677-cc042f37e4ec/download/subdural.csv", | ||
270 | "url_type": "upload" | 265 | "url_type": "upload" | ||
271 | }, | 266 | }, | ||
272 | { | 267 | { | ||
273 | "cache_last_updated": null, | 268 | "cache_last_updated": null, | ||
274 | "cache_url": null, | 269 | "cache_url": null, | ||
275 | "created": "2023-12-12T06:11:30.258309", | 270 | "created": "2023-12-12T06:11:30.258309", | ||
276 | "datastore_active": false, | 271 | "datastore_active": false, | ||
277 | "description": "This dataset was a part of the RSNA 2019 | 272 | "description": "This dataset was a part of the RSNA 2019 | ||
278 | Challenge and contains an equal number of brain CT sections (i.e., | 273 | Challenge and contains an equal number of brain CT sections (i.e., | ||
279 | 1000 images) for each label.", | 274 | 1000 images) for each label.", | ||
280 | "format": "DICOM", | 275 | "format": "DICOM", | ||
281 | "hash": "", | 276 | "hash": "", | ||
282 | "id": "19b5164e-5902-4853-bd77-4892b7c1865b", | 277 | "id": "19b5164e-5902-4853-bd77-4892b7c1865b", | ||
283 | "last_modified": null, | 278 | "last_modified": null, | ||
284 | "metadata_modified": "2023-12-12T06:11:30.227391", | 279 | "metadata_modified": "2023-12-12T06:11:30.227391", | ||
285 | "mimetype": null, | 280 | "mimetype": null, | ||
286 | "mimetype_inner": null, | 281 | "mimetype_inner": null, | ||
287 | "name": "Brain CT Hemorrhage Dataset", | 282 | "name": "Brain CT Hemorrhage Dataset", | ||
288 | "package_id": "4474dd3c-fdb0-4749-a163-8ffbced7905c", | 283 | "package_id": "4474dd3c-fdb0-4749-a163-8ffbced7905c", | ||
289 | "position": 8, | 284 | "position": 8, | ||
290 | "resource_type": null, | 285 | "resource_type": null, | ||
291 | "size": null, | 286 | "size": null, | ||
292 | "state": "active", | 287 | "state": "active", | ||
293 | "url": | 288 | "url": | ||
294 | HhFNgDS4dxPuHaLQAuUCPPO/1VqPQ_8sJc1fzB8mdBDzypUcO7YtG-GN-prqgXlDC-Ao", | 289 | HhFNgDS4dxPuHaLQAuUCPPO/1VqPQ_8sJc1fzB8mdBDzypUcO7YtG-GN-prqgXlDC-Ao", | ||
295 | "url_type": null | 290 | "url_type": null | ||
296 | } | 291 | } | ||
297 | ], | 292 | ], | ||
298 | "state": "active", | 293 | "state": "active", | ||
299 | "tags": [ | 294 | "tags": [ | ||
300 | { | 295 | { | ||
301 | "display_name": "CT", | 296 | "display_name": "CT", | ||
302 | "id": "722257de-6d00-4834-8145-7ff0739b1c16", | 297 | "id": "722257de-6d00-4834-8145-7ff0739b1c16", | ||
303 | "name": "CT", | 298 | "name": "CT", | ||
304 | "state": "active", | 299 | "state": "active", | ||
305 | "vocabulary_id": null | 300 | "vocabulary_id": null | ||
306 | }, | 301 | }, | ||
307 | { | 302 | { | ||
308 | "display_name": "brain", | 303 | "display_name": "brain", | ||
309 | "id": "7828821f-c0ef-4377-98c3-4261eee91cf1", | 304 | "id": "7828821f-c0ef-4377-98c3-4261eee91cf1", | ||
310 | "name": "brain", | 305 | "name": "brain", | ||
311 | "state": "active", | 306 | "state": "active", | ||
312 | "vocabulary_id": null | 307 | "vocabulary_id": null | ||
313 | }, | 308 | }, | ||
314 | { | 309 | { | ||
315 | "display_name": "brain image", | 310 | "display_name": "brain image", | ||
316 | "id": "e6e4b86c-3c9b-43a8-9482-f9d6818cbd5d", | 311 | "id": "e6e4b86c-3c9b-43a8-9482-f9d6818cbd5d", | ||
317 | "name": "brain image", | 312 | "name": "brain image", | ||
318 | "state": "active", | 313 | "state": "active", | ||
319 | "vocabulary_id": null | 314 | "vocabulary_id": null | ||
320 | }, | 315 | }, | ||
321 | { | 316 | { | ||
322 | "display_name": "hemorrhage", | 317 | "display_name": "hemorrhage", | ||
323 | "id": "e85c1f20-b932-4468-b100-c6c3dec893da", | 318 | "id": "e85c1f20-b932-4468-b100-c6c3dec893da", | ||
324 | "name": "hemorrhage", | 319 | "name": "hemorrhage", | ||
325 | "state": "active", | 320 | "state": "active", | ||
326 | "vocabulary_id": null | 321 | "vocabulary_id": null | ||
327 | } | 322 | } | ||
328 | ], | 323 | ], | ||
329 | "title": "Brain CT Hemorrhage Public Dataset", | 324 | "title": "Brain CT Hemorrhage Public Dataset", | ||
330 | "type": "dataset", | 325 | "type": "dataset", | ||
331 | "url": "", | 326 | "url": "", | ||
332 | "version": "" | 327 | "version": "" | ||
333 | } | 328 | } |