Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "John Kalkhof",
3
  "author": "John Kalkhof",
            
4
  "author_email": "",
4
  "author_email": "",
            
5
  "citation": [],
5
  "citation": [],
            
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
7
  "defined_in": "https://doi.org/10.48550/arXiv.2302.03473",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2302.03473",
            
8
  "doi": "10.57702/ca49clr4",
8
  "doi": "10.57702/ca49clr4",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-16",
            
10
  "doi_publisher": "TIB",
10
  "doi_publisher": "TIB",
            
n
11
  "doi_status": false,
n
11
  "doi_status": true,
            
12
  "domain": "https://service.tib.eu/ldmservice",
12
  "domain": "https://service.tib.eu/ldmservice",
            
13
  "extra_authors": [
13
  "extra_authors": [
            
14
    {
14
    {
            
15
      "extra_author": "Camila Gonz\u00e1lez",
15
      "extra_author": "Camila Gonz\u00e1lez",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Anirban Mukhopadhyay",
19
      "extra_author": "Anirban Mukhopadhyay",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    }
21
    }
            
22
  ],
22
  ],
            
23
  "groups": [
23
  "groups": [
            
24
    {
24
    {
            
25
      "description": "",
25
      "description": "",
            
26
      "display_name": "Medical Image Segmentation",
26
      "display_name": "Medical Image Segmentation",
            
27
      "id": "30b6f278-a6f5-4a21-8a07-80737406cc87",
27
      "id": "30b6f278-a6f5-4a21-8a07-80737406cc87",
            
28
      "image_display_url": "",
28
      "image_display_url": "",
            
29
      "name": "medical-image-segmentation",
29
      "name": "medical-image-segmentation",
            
30
      "title": "Medical Image Segmentation"
30
      "title": "Medical Image Segmentation"
            
31
    }
31
    }
            
32
  ],
32
  ],
            
33
  "id": "b358dca3-905d-4035-9b9f-4208df3986de",
33
  "id": "b358dca3-905d-4035-9b9f-4208df3986de",
            
34
  "isopen": false,
34
  "isopen": false,
            
35
  "landing_page": "https://github.com/MECLabTUDA/Med-NCA",
35
  "landing_page": "https://github.com/MECLabTUDA/Med-NCA",
            
36
  "license_title": null,
36
  "license_title": null,
            
37
  "link_orkg": "",
37
  "link_orkg": "",
            
38
  "metadata_created": "2024-12-16T19:33:40.655531",
38
  "metadata_created": "2024-12-16T19:33:40.655531",
            
n
39
  "metadata_modified": "2024-12-16T19:33:40.655538",
n
39
  "metadata_modified": "2024-12-16T19:33:41.024488",
            
40
  "name": 
40
  "name": 
            
41
a--robust-and-lightweight-segmentation-with-neural-cellular-automata",
41
a--robust-and-lightweight-segmentation-with-neural-cellular-automata",
            
42
  "notes": "Medical image segmentation with Deep Learning. This 
42
  "notes": "Medical image segmentation with Deep Learning. This 
            
43
requirement makes it difficult to run state-of-the-art segmentation 
43
requirement makes it difficult to run state-of-the-art segmentation 
            
44
models in resource-constrained scenarios like primary care facilities 
44
models in resource-constrained scenarios like primary care facilities 
            
45
in rural areas and during crises.",
45
in rural areas and during crises.",
            
n
46
  "num_resources": 0,
n
46
  "num_resources": 1,
            
47
  "num_tags": 3,
47
  "num_tags": 3,
            
48
  "organization": {
48
  "organization": {
            
49
    "approval_status": "approved",
49
    "approval_status": "approved",
            
50
    "created": "2024-11-25T12:11:38.292601",
50
    "created": "2024-11-25T12:11:38.292601",
            
51
    "description": "",
51
    "description": "",
            
52
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
52
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
53
    "image_url": "",
53
    "image_url": "",
            
54
    "is_organization": true,
54
    "is_organization": true,
            
55
    "name": "no-organization",
55
    "name": "no-organization",
            
56
    "state": "active",
56
    "state": "active",
            
57
    "title": "No Organization",
57
    "title": "No Organization",
            
58
    "type": "organization"
58
    "type": "organization"
            
59
  },
59
  },
            
60
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
60
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
61
  "private": false,
61
  "private": false,
            
62
  "relationships_as_object": [],
62
  "relationships_as_object": [],
            
63
  "relationships_as_subject": [],
63
  "relationships_as_subject": [],
            
t
64
  "resources": [],
t
64
  "resources": [
            
65
    {
            
66
      "cache_last_updated": null,
            
67
      "cache_url": null,
            
68
      "created": "2024-12-16T18:25:41",
            
69
      "data": [
            
70
        "dcterms:title",
            
71
        "dcterms:accessRights",
            
72
        "dcterms:creator",
            
73
        "dcterms:description",
            
74
        "dcterms:issued",
            
75
        "dcterms:language",
            
76
        "dcterms:identifier",
            
77
        "dcat:theme",
            
78
        "dcterms:type",
            
79
        "dcat:keyword",
            
80
        "dcat:landingPage",
            
81
        "dcterms:hasVersion",
            
82
        "dcterms:format",
            
83
        "mls:task",
            
84
        "datacite:isDescribedBy"
            
85
      ],
            
86
      "description": "The json representation of the dataset with its 
            
87
distributions based on DCAT.",
            
88
      "format": "JSON",
            
89
      "hash": "",
            
90
      "id": "e4e1d7ec-c13d-48c7-9749-d838478a9af8",
            
91
      "last_modified": "2024-12-16T19:33:41.017216",
            
92
      "metadata_modified": "2024-12-16T19:33:41.027912",
            
93
      "mimetype": "application/json",
            
94
      "mimetype_inner": null,
            
95
      "name": "Original Metadata",
            
96
      "package_id": "b358dca3-905d-4035-9b9f-4208df3986de",
            
97
      "position": 0,
            
98
      "resource_type": null,
            
99
      "size": 923,
            
100
      "state": "active",
            
101
      "url": 
            
102
resource/e4e1d7ec-c13d-48c7-9749-d838478a9af8/download/metadata.json",
            
103
      "url_type": "upload"
            
104
    }
            
105
  ],
            
65
  "services_used_list": "",
106
  "services_used_list": "",
            
66
  "state": "active",
107
  "state": "active",
            
67
  "tags": [
108
  "tags": [
            
68
    {
109
    {
            
69
      "display_name": "Deep Learning",
110
      "display_name": "Deep Learning",
            
70
      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
111
      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
            
71
      "name": "Deep Learning",
112
      "name": "Deep Learning",
            
72
      "state": "active",
113
      "state": "active",
            
73
      "vocabulary_id": null
114
      "vocabulary_id": null
            
74
    },
115
    },
            
75
    {
116
    {
            
76
      "display_name": "Medical Image Segmentation",
117
      "display_name": "Medical Image Segmentation",
            
77
      "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f",
118
      "id": "a90cdc4c-84c9-4603-8c0e-8e18a0ff936f",
            
78
      "name": "Medical Image Segmentation",
119
      "name": "Medical Image Segmentation",
            
79
      "state": "active",
120
      "state": "active",
            
80
      "vocabulary_id": null
121
      "vocabulary_id": null
            
81
    },
122
    },
            
82
    {
123
    {
            
83
      "display_name": "Neural Cellular Automata",
124
      "display_name": "Neural Cellular Automata",
            
84
      "id": "87352fd3-f159-49de-b5f5-1d2322fb33c2",
125
      "id": "87352fd3-f159-49de-b5f5-1d2322fb33c2",
            
85
      "name": "Neural Cellular Automata",
126
      "name": "Neural Cellular Automata",
            
86
      "state": "active",
127
      "state": "active",
            
87
      "vocabulary_id": null
128
      "vocabulary_id": null
            
88
    }
129
    }
            
89
  ],
130
  ],
            
90
  "title": "Med-NCA: Robust and Lightweight Segmentation with Neural 
131
  "title": "Med-NCA: Robust and Lightweight Segmentation with Neural 
            
91
Cellular Automata",
132
Cellular Automata",
            
92
  "type": "dataset",
133
  "type": "dataset",
            
93
  "version": ""
134
  "version": ""
            
94
}
135
}