Changes
On December 3, 2024 at 9:35:54 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Data augmentation using learned transformations for one-shot medical image segmentation -
Changed value of field
doi_date_published
to2024-12-03
in Data augmentation using learned transformations for one-shot medical image segmentation -
Added resource Original Metadata to Data augmentation using learned transformations for one-shot medical image segmentation
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Zhao, A.; Balakrishnan, G.; Durand, F.; Guttag, J. V.; | 3 | "author": "Zhao, A.; Balakrishnan, G.; Durand, F.; Guttag, J. V.; | ||
4 | and Dalca, A. V.", | 4 | and Dalca, A. V.", | ||
5 | "author_email": "", | 5 | "author_email": "", | ||
6 | "citation": [], | 6 | "citation": [], | ||
7 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 7 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
8 | "defined_in": "", | 8 | "defined_in": "", | ||
9 | "doi": "10.57702/hjt0qinz", | 9 | "doi": "10.57702/hjt0qinz", | ||
n | 10 | "doi_date_published": null, | n | 10 | "doi_date_published": "2024-12-03", |
11 | "doi_publisher": "TIB", | 11 | "doi_publisher": "TIB", | ||
n | 12 | "doi_status": false, | n | 12 | "doi_status": true, |
13 | "domain": "https://service.tib.eu/ldmservice", | 13 | "domain": "https://service.tib.eu/ldmservice", | ||
14 | "groups": [ | 14 | "groups": [ | ||
15 | { | 15 | { | ||
16 | "description": "", | 16 | "description": "", | ||
17 | "display_name": "Data Augmentation", | 17 | "display_name": "Data Augmentation", | ||
18 | "id": "23ff74cb-7028-4236-aabd-414acf925725", | 18 | "id": "23ff74cb-7028-4236-aabd-414acf925725", | ||
19 | "image_display_url": "", | 19 | "image_display_url": "", | ||
20 | "name": "data-augmentation", | 20 | "name": "data-augmentation", | ||
21 | "title": "Data Augmentation" | 21 | "title": "Data Augmentation" | ||
22 | }, | 22 | }, | ||
23 | { | 23 | { | ||
24 | "description": "", | 24 | "description": "", | ||
25 | "display_name": "Medical Image Segmentation", | 25 | "display_name": "Medical Image Segmentation", | ||
26 | "id": "30b6f278-a6f5-4a21-8a07-80737406cc87", | 26 | "id": "30b6f278-a6f5-4a21-8a07-80737406cc87", | ||
27 | "image_display_url": "", | 27 | "image_display_url": "", | ||
28 | "name": "medical-image-segmentation", | 28 | "name": "medical-image-segmentation", | ||
29 | "title": "Medical Image Segmentation" | 29 | "title": "Medical Image Segmentation" | ||
30 | } | 30 | } | ||
31 | ], | 31 | ], | ||
32 | "id": "fbbafe9b-3bb2-4d6f-a064-6af4f175e43b", | 32 | "id": "fbbafe9b-3bb2-4d6f-a064-6af4f175e43b", | ||
33 | "isopen": false, | 33 | "isopen": false, | ||
34 | "landing_page": "https://ieeexplore.ieee.org/document/8661116", | 34 | "landing_page": "https://ieeexplore.ieee.org/document/8661116", | ||
35 | "license_title": null, | 35 | "license_title": null, | ||
36 | "link_orkg": "", | 36 | "link_orkg": "", | ||
37 | "metadata_created": "2024-12-03T09:35:52.926280", | 37 | "metadata_created": "2024-12-03T09:35:52.926280", | ||
n | 38 | "metadata_modified": "2024-12-03T09:35:52.926285", | n | 38 | "metadata_modified": "2024-12-03T09:35:53.349287", |
39 | "name": | 39 | "name": | ||
40 | sing-learned-transformations-for-one-shot-medical-image-segmentation", | 40 | sing-learned-transformations-for-one-shot-medical-image-segmentation", | ||
41 | "notes": "The dataset used in the paper is not explicitly described, | 41 | "notes": "The dataset used in the paper is not explicitly described, | ||
42 | but it is mentioned that the authors used CIFAR-10, CIFAR-100, | 42 | but it is mentioned that the authors used CIFAR-10, CIFAR-100, | ||
43 | ImageNet, CUB-200-2011, and Stanford Dogs datasets.", | 43 | ImageNet, CUB-200-2011, and Stanford Dogs datasets.", | ||
n | 44 | "num_resources": 0, | n | 44 | "num_resources": 1, |
45 | "num_tags": 3, | 45 | "num_tags": 3, | ||
46 | "organization": { | 46 | "organization": { | ||
47 | "approval_status": "approved", | 47 | "approval_status": "approved", | ||
48 | "created": "2024-11-25T12:11:38.292601", | 48 | "created": "2024-11-25T12:11:38.292601", | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 50 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
51 | "image_url": "", | 51 | "image_url": "", | ||
52 | "is_organization": true, | 52 | "is_organization": true, | ||
53 | "name": "no-organization", | 53 | "name": "no-organization", | ||
54 | "state": "active", | 54 | "state": "active", | ||
55 | "title": "No Organization", | 55 | "title": "No Organization", | ||
56 | "type": "organization" | 56 | "type": "organization" | ||
57 | }, | 57 | }, | ||
58 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 58 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
59 | "private": false, | 59 | "private": false, | ||
60 | "relationships_as_object": [], | 60 | "relationships_as_object": [], | ||
61 | "relationships_as_subject": [], | 61 | "relationships_as_subject": [], | ||
t | 62 | "resources": [], | t | 62 | "resources": [ |
63 | { | ||||
64 | "cache_last_updated": null, | ||||
65 | "cache_url": null, | ||||
66 | "created": "2024-12-03T10:17:29", | ||||
67 | "data": [ | ||||
68 | "dcterms:title", | ||||
69 | "dcterms:accessRights", | ||||
70 | "dcterms:creator", | ||||
71 | "dcterms:description", | ||||
72 | "dcterms:issued", | ||||
73 | "dcterms:language", | ||||
74 | "dcterms:identifier", | ||||
75 | "dcat:theme", | ||||
76 | "dcterms:type", | ||||
77 | "dcat:keyword", | ||||
78 | "dcat:landingPage", | ||||
79 | "dcterms:hasVersion", | ||||
80 | "dcterms:format", | ||||
81 | "mls:task" | ||||
82 | ], | ||||
83 | "description": "The json representation of the dataset with its | ||||
84 | distributions based on DCAT.", | ||||
85 | "format": "JSON", | ||||
86 | "hash": "", | ||||
87 | "id": "fcb592a8-18e2-4fca-a49a-9d8e2d547b40", | ||||
88 | "last_modified": "2024-12-03T09:35:53.342029", | ||||
89 | "metadata_modified": "2024-12-03T09:35:53.352201", | ||||
90 | "mimetype": "application/json", | ||||
91 | "mimetype_inner": null, | ||||
92 | "name": "Original Metadata", | ||||
93 | "package_id": "fbbafe9b-3bb2-4d6f-a064-6af4f175e43b", | ||||
94 | "position": 0, | ||||
95 | "resource_type": null, | ||||
96 | "size": 865, | ||||
97 | "state": "active", | ||||
98 | "url": | ||||
99 | resource/fcb592a8-18e2-4fca-a49a-9d8e2d547b40/download/metadata.json", | ||||
100 | "url_type": "upload" | ||||
101 | } | ||||
102 | ], | ||||
63 | "services_used_list": "", | 103 | "services_used_list": "", | ||
64 | "state": "active", | 104 | "state": "active", | ||
65 | "tags": [ | 105 | "tags": [ | ||
66 | { | 106 | { | ||
67 | "display_name": "Data Augmentation", | 107 | "display_name": "Data Augmentation", | ||
68 | "id": "9357b14b-40d7-4e6a-b7d8-fb3a9b710336", | 108 | "id": "9357b14b-40d7-4e6a-b7d8-fb3a9b710336", | ||
69 | "name": "Data Augmentation", | 109 | "name": "Data Augmentation", | ||
70 | "state": "active", | 110 | "state": "active", | ||
71 | "vocabulary_id": null | 111 | "vocabulary_id": null | ||
72 | }, | 112 | }, | ||
73 | { | 113 | { | ||
74 | "display_name": "Medical Image Segmentation", | 114 | "display_name": "Medical Image Segmentation", | ||
75 | "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f", | 115 | "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f", | ||
76 | "name": "Medical Image Segmentation", | 116 | "name": "Medical Image Segmentation", | ||
77 | "state": "active", | 117 | "state": "active", | ||
78 | "vocabulary_id": null | 118 | "vocabulary_id": null | ||
79 | }, | 119 | }, | ||
80 | { | 120 | { | ||
81 | "display_name": "One-shot learning", | 121 | "display_name": "One-shot learning", | ||
82 | "id": "80bf6089-336c-4043-9df2-2787cd5b7d2c", | 122 | "id": "80bf6089-336c-4043-9df2-2787cd5b7d2c", | ||
83 | "name": "One-shot learning", | 123 | "name": "One-shot learning", | ||
84 | "state": "active", | 124 | "state": "active", | ||
85 | "vocabulary_id": null | 125 | "vocabulary_id": null | ||
86 | } | 126 | } | ||
87 | ], | 127 | ], | ||
88 | "title": "Data augmentation using learned transformations for | 128 | "title": "Data augmentation using learned transformations for | ||
89 | one-shot medical image segmentation", | 129 | one-shot medical image segmentation", | ||
90 | "type": "dataset", | 130 | "type": "dataset", | ||
91 | "version": "" | 131 | "version": "" | ||
92 | } | 132 | } |