Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Md. Mostafa Kamal Sarkar",
3
  "author": "Md. Mostafa Kamal Sarkar",
            
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.1907.00856",
7
  "defined_in": "https://doi.org/10.48550/arXiv.1907.00856",
            
8
  "doi": "10.57702/h7y6llwu",
8
  "doi": "10.57702/h7y6llwu",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-02",
            
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": "Hatem A.Rashwan",
15
      "extra_author": "Hatem A.Rashwan",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Farhan Akram",
19
      "extra_author": "Farhan Akram",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "extra_author": "Vivek Kumar Singh",
23
      "extra_author": "Vivek Kumar Singh",
            
24
      "orcid": ""
24
      "orcid": ""
            
25
    },
25
    },
            
26
    {
26
    {
            
27
      "extra_author": "Syeda Furruka Banu",
27
      "extra_author": "Syeda Furruka Banu",
            
28
      "orcid": ""
28
      "orcid": ""
            
29
    },
29
    },
            
30
    {
30
    {
            
31
      "extra_author": "Forhad U. H. Chowdhury",
31
      "extra_author": "Forhad U. H. Chowdhury",
            
32
      "orcid": ""
32
      "orcid": ""
            
33
    },
33
    },
            
34
    {
34
    {
            
35
      "extra_author": "Kabir Ahmed Choudhury",
35
      "extra_author": "Kabir Ahmed Choudhury",
            
36
      "orcid": ""
36
      "orcid": ""
            
37
    },
37
    },
            
38
    {
38
    {
            
39
      "extra_author": "Sylvie Chambon",
39
      "extra_author": "Sylvie Chambon",
            
40
      "orcid": ""
40
      "orcid": ""
            
41
    },
41
    },
            
42
    {
42
    {
            
43
      "extra_author": "Petia Radeva",
43
      "extra_author": "Petia Radeva",
            
44
      "orcid": ""
44
      "orcid": ""
            
45
    },
45
    },
            
46
    {
46
    {
            
47
      "extra_author": "Domenec Puig",
47
      "extra_author": "Domenec Puig",
            
48
      "orcid": ""
48
      "orcid": ""
            
49
    },
49
    },
            
50
    {
50
    {
            
51
      "extra_author": "Mohamed Abdel-Nasser",
51
      "extra_author": "Mohamed Abdel-Nasser",
            
52
      "orcid": ""
52
      "orcid": ""
            
53
    }
53
    }
            
54
  ],
54
  ],
            
55
  "groups": [
55
  "groups": [
            
56
    {
56
    {
            
57
      "description": "",
57
      "description": "",
            
58
      "display_name": "Skin Lesion Segmentation",
58
      "display_name": "Skin Lesion Segmentation",
            
59
      "id": "fc612452-be45-42c5-acdd-d354942f8329",
59
      "id": "fc612452-be45-42c5-acdd-d354942f8329",
            
60
      "image_display_url": "",
60
      "image_display_url": "",
            
61
      "name": "skin-lesion-segmentation",
61
      "name": "skin-lesion-segmentation",
            
62
      "title": "Skin Lesion Segmentation"
62
      "title": "Skin Lesion Segmentation"
            
63
    }
63
    }
            
64
  ],
64
  ],
            
65
  "id": "23d4f291-86cb-4c4f-ba3e-7ae13aaaf0b4",
65
  "id": "23d4f291-86cb-4c4f-ba3e-7ae13aaaf0b4",
            
66
  "isopen": false,
66
  "isopen": false,
            
67
  "landing_page": "https://challenge.isic-archive.com/",
67
  "landing_page": "https://challenge.isic-archive.com/",
            
68
  "license_title": null,
68
  "license_title": null,
            
69
  "link_orkg": "",
69
  "link_orkg": "",
            
70
  "metadata_created": "2024-12-02T22:38:54.936636",
70
  "metadata_created": "2024-12-02T22:38:54.936636",
            
n
71
  "metadata_modified": "2024-12-02T22:38:54.936641",
n
71
  "metadata_modified": "2024-12-02T22:38:55.464450",
            
72
  "name": 
72
  "name": 
            
73
sion-segmentation-using-a-lightweight-generative-adversarial-network",
73
sion-segmentation-using-a-lightweight-generative-adversarial-network",
            
74
  "notes": "The proposed model, MobileGAN, is a lightweight and 
74
  "notes": "The proposed model, MobileGAN, is a lightweight and 
            
75
efficient GAN model for skin lesion segmentation. It combines 1-D 
75
efficient GAN model for skin lesion segmentation. It combines 1-D 
            
76
kernel factorized networks, position and channel attention, and 
76
kernel factorized networks, position and channel attention, and 
            
77
multiscale aggregation mechanisms with a GAN model.",
77
multiscale aggregation mechanisms with a GAN model.",
            
n
78
  "num_resources": 0,
n
78
  "num_resources": 1,
            
79
  "num_tags": 5,
79
  "num_tags": 5,
            
80
  "organization": {
80
  "organization": {
            
81
    "approval_status": "approved",
81
    "approval_status": "approved",
            
82
    "created": "2024-11-25T12:11:38.292601",
82
    "created": "2024-11-25T12:11:38.292601",
            
83
    "description": "",
83
    "description": "",
            
84
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
84
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
85
    "image_url": "",
85
    "image_url": "",
            
86
    "is_organization": true,
86
    "is_organization": true,
            
87
    "name": "no-organization",
87
    "name": "no-organization",
            
88
    "state": "active",
88
    "state": "active",
            
89
    "title": "No Organization",
89
    "title": "No Organization",
            
90
    "type": "organization"
90
    "type": "organization"
            
91
  },
91
  },
            
92
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
92
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
93
  "private": false,
93
  "private": false,
            
94
  "relationships_as_object": [],
94
  "relationships_as_object": [],
            
95
  "relationships_as_subject": [],
95
  "relationships_as_subject": [],
            
t
96
  "resources": [],
t
96
  "resources": [
            
97
    {
            
98
      "cache_last_updated": null,
            
99
      "cache_url": null,
            
100
      "created": "2024-12-02T22:29:38",
            
101
      "data": [
            
102
        "dcterms:title",
            
103
        "dcterms:accessRights",
            
104
        "dcterms:creator",
            
105
        "dcterms:description",
            
106
        "dcterms:issued",
            
107
        "dcterms:language",
            
108
        "dcterms:identifier",
            
109
        "dcat:theme",
            
110
        "dcterms:type",
            
111
        "dcat:keyword",
            
112
        "dcat:landingPage",
            
113
        "dcterms:hasVersion",
            
114
        "dcterms:format",
            
115
        "mls:task",
            
116
        "datacite:isDescribedBy"
            
117
      ],
            
118
      "description": "The json representation of the dataset with its 
            
119
distributions based on DCAT.",
            
120
      "format": "JSON",
            
121
      "hash": "",
            
122
      "id": "b07820a5-4e08-4873-a6d2-f5187c2b1fdf",
            
123
      "last_modified": "2024-12-02T22:38:55.457141",
            
124
      "metadata_modified": "2024-12-02T22:38:55.467284",
            
125
      "mimetype": "application/json",
            
126
      "mimetype_inner": null,
            
127
      "name": "Original Metadata",
            
128
      "package_id": "23d4f291-86cb-4c4f-ba3e-7ae13aaaf0b4",
            
129
      "position": 0,
            
130
      "resource_type": null,
            
131
      "size": 1197,
            
132
      "state": "active",
            
133
      "url": 
            
134
resource/b07820a5-4e08-4873-a6d2-f5187c2b1fdf/download/metadata.json",
            
135
      "url_type": "upload"
            
136
    }
            
137
  ],
            
97
  "services_used_list": "",
138
  "services_used_list": "",
            
98
  "state": "active",
139
  "state": "active",
            
99
  "tags": [
140
  "tags": [
            
100
    {
141
    {
            
101
      "display_name": "1-D kernel factorized networks",
142
      "display_name": "1-D kernel factorized networks",
            
102
      "id": "420177a9-4cb6-4da4-b161-a96f9bd3cd8c",
143
      "id": "420177a9-4cb6-4da4-b161-a96f9bd3cd8c",
            
103
      "name": "1-D kernel factorized networks",
144
      "name": "1-D kernel factorized networks",
            
104
      "state": "active",
145
      "state": "active",
            
105
      "vocabulary_id": null
146
      "vocabulary_id": null
            
106
    },
147
    },
            
107
    {
148
    {
            
108
      "display_name": "lightweight generative adversarial network",
149
      "display_name": "lightweight generative adversarial network",
            
109
      "id": "338c6af1-0039-4216-8637-7a9a45039574",
150
      "id": "338c6af1-0039-4216-8637-7a9a45039574",
            
110
      "name": "lightweight generative adversarial network",
151
      "name": "lightweight generative adversarial network",
            
111
      "state": "active",
152
      "state": "active",
            
112
      "vocabulary_id": null
153
      "vocabulary_id": null
            
113
    },
154
    },
            
114
    {
155
    {
            
115
      "display_name": "multiscale aggregation",
156
      "display_name": "multiscale aggregation",
            
116
      "id": "940e69fe-a0dc-4c30-a79e-cfca552da4bd",
157
      "id": "940e69fe-a0dc-4c30-a79e-cfca552da4bd",
            
117
      "name": "multiscale aggregation",
158
      "name": "multiscale aggregation",
            
118
      "state": "active",
159
      "state": "active",
            
119
      "vocabulary_id": null
160
      "vocabulary_id": null
            
120
    },
161
    },
            
121
    {
162
    {
            
122
      "display_name": "position and channel attention",
163
      "display_name": "position and channel attention",
            
123
      "id": "8459aa58-eedf-4c17-909d-be2efe1ca748",
164
      "id": "8459aa58-eedf-4c17-909d-be2efe1ca748",
            
124
      "name": "position and channel attention",
165
      "name": "position and channel attention",
            
125
      "state": "active",
166
      "state": "active",
            
126
      "vocabulary_id": null
167
      "vocabulary_id": null
            
127
    },
168
    },
            
128
    {
169
    {
            
129
      "display_name": "skin lesion segmentation",
170
      "display_name": "skin lesion segmentation",
            
130
      "id": "cc9adf1f-1646-4902-a787-eece8d88c0c7",
171
      "id": "cc9adf1f-1646-4902-a787-eece8d88c0c7",
            
131
      "name": "skin lesion segmentation",
172
      "name": "skin lesion segmentation",
            
132
      "state": "active",
173
      "state": "active",
            
133
      "vocabulary_id": null
174
      "vocabulary_id": null
            
134
    }
175
    }
            
135
  ],
176
  ],
            
136
  "title": "SLSNet: Skin lesion segmentation using a lightweight 
177
  "title": "SLSNet: Skin lesion segmentation using a lightweight 
            
137
generative adversarial network",
178
generative adversarial network",
            
138
  "type": "dataset",
179
  "type": "dataset",
            
139
  "version": ""
180
  "version": ""
            
140
}
181
}