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On January 2, 2025 at 11:49:36 PM UTC, admin:
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Changed value of field
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to2025-01-02
in Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis -
Changed value of field
doi_status
toTrue
in Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis -
Added resource Original Metadata to Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Khiem H. Le", | 3 | "author": "Khiem H. Le", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.2203.10611", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2203.10611", | ||
8 | "doi": "10.57702/4gst46z5", | 8 | "doi": "10.57702/4gst46z5", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2025-01-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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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": "Tuan V. Tran", | 15 | "extra_author": "Tuan V. Tran", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Hieu H. Pham", | 19 | "extra_author": "Hieu H. Pham", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Hieu T. Nguyen", | 23 | "extra_author": "Hieu T. Nguyen", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Tung T. Le", | 27 | "extra_author": "Tung T. Le", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Ha Q. Nguyen", | 31 | "extra_author": "Ha Q. Nguyen", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "D. Q. Tran", | 35 | "extra_author": "D. Q. Tran", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "extra_author": "D. B. Nguyen", | 39 | "extra_author": "D. B. Nguyen", | ||
40 | "orcid": "" | 40 | "orcid": "" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "extra_author": "C. M. Pham", | 43 | "extra_author": "C. M. Pham", | ||
44 | "orcid": "" | 44 | "orcid": "" | ||
45 | }, | 45 | }, | ||
46 | { | 46 | { | ||
47 | "extra_author": "H. T. Tong", | 47 | "extra_author": "H. T. Tong", | ||
48 | "orcid": "" | 48 | "orcid": "" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "extra_author": "D. H. Dinh", | 51 | "extra_author": "D. H. Dinh", | ||
52 | "orcid": "" | 52 | "orcid": "" | ||
53 | } | 53 | } | ||
54 | ], | 54 | ], | ||
55 | "groups": [ | 55 | "groups": [ | ||
56 | { | 56 | { | ||
57 | "description": "", | 57 | "description": "", | ||
58 | "display_name": "Anomaly Detection", | 58 | "display_name": "Anomaly Detection", | ||
59 | "id": "469caeeb-2eee-4858-a0f3-692b4da09dfe", | 59 | "id": "469caeeb-2eee-4858-a0f3-692b4da09dfe", | ||
60 | "image_display_url": "", | 60 | "image_display_url": "", | ||
61 | "name": "anomaly-detection", | 61 | "name": "anomaly-detection", | ||
62 | "title": "Anomaly Detection" | 62 | "title": "Anomaly Detection" | ||
63 | }, | 63 | }, | ||
64 | { | 64 | { | ||
65 | "description": "", | 65 | "description": "", | ||
66 | "display_name": "Medical Image Analysis", | 66 | "display_name": "Medical Image Analysis", | ||
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68 | "image_display_url": "", | 68 | "image_display_url": "", | ||
69 | "name": "medical-image-analysis", | 69 | "name": "medical-image-analysis", | ||
70 | "title": "Medical Image Analysis" | 70 | "title": "Medical Image Analysis" | ||
71 | } | 71 | } | ||
72 | ], | 72 | ], | ||
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74 | "isopen": false, | 74 | "isopen": false, | ||
75 | "landing_page": | 75 | "landing_page": | ||
76 | "https://github.com/huyhieupham/learning-from-multiple-annotators", | 76 | "https://github.com/huyhieupham/learning-from-multiple-annotators", | ||
77 | "license_title": null, | 77 | "license_title": null, | ||
78 | "link_orkg": "", | 78 | "link_orkg": "", | ||
79 | "metadata_created": "2025-01-02T23:49:34.123633", | 79 | "metadata_created": "2025-01-02T23:49:34.123633", | ||
n | 80 | "metadata_modified": "2025-01-02T23:49:34.123640", | n | 80 | "metadata_modified": "2025-01-02T23:49:35.136838", |
81 | "name": | 81 | "name": | ||
82 | annotators-for-enhancing-anomaly-detection-in-medical-image-analysis", | 82 | annotators-for-enhancing-anomaly-detection-in-medical-image-analysis", | ||
83 | "notes": "The proposed method uses Weighted Boxes Fusion (WBF) | 83 | "notes": "The proposed method uses Weighted Boxes Fusion (WBF) | ||
84 | algorithm to obtain the aggregated annotations with the implicit | 84 | algorithm to obtain the aggregated annotations with the implicit | ||
85 | annotators' agreement as con\ufb01dence scores. The estimated | 85 | annotators' agreement as con\ufb01dence scores. The estimated | ||
86 | annotations are then used to train a deep learning detector with a | 86 | annotations are then used to train a deep learning detector with a | ||
87 | re-weighted loss function that incorporates the con\ufb01dence scores | 87 | re-weighted loss function that incorporates the con\ufb01dence scores | ||
88 | to localize abnormal \ufb01ndings.", | 88 | to localize abnormal \ufb01ndings.", | ||
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90 | "num_tags": 4, | 90 | "num_tags": 4, | ||
91 | "organization": { | 91 | "organization": { | ||
92 | "approval_status": "approved", | 92 | "approval_status": "approved", | ||
93 | "created": "2024-11-25T12:11:38.292601", | 93 | "created": "2024-11-25T12:11:38.292601", | ||
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98 | "name": "no-organization", | 98 | "name": "no-organization", | ||
99 | "state": "active", | 99 | "state": "active", | ||
100 | "title": "No Organization", | 100 | "title": "No Organization", | ||
101 | "type": "organization" | 101 | "type": "organization" | ||
102 | }, | 102 | }, | ||
103 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 103 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
104 | "private": false, | 104 | "private": false, | ||
105 | "relationships_as_object": [], | 105 | "relationships_as_object": [], | ||
106 | "relationships_as_subject": [], | 106 | "relationships_as_subject": [], | ||
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108 | { | ||||
109 | "cache_last_updated": null, | ||||
110 | "cache_url": null, | ||||
111 | "created": "2025-01-03T00:16:30", | ||||
112 | "data": [ | ||||
113 | "dcterms:title", | ||||
114 | "dcterms:accessRights", | ||||
115 | "dcterms:creator", | ||||
116 | "dcterms:description", | ||||
117 | "dcterms:issued", | ||||
118 | "dcterms:language", | ||||
119 | "dcterms:identifier", | ||||
120 | "dcat:theme", | ||||
121 | "dcterms:type", | ||||
122 | "dcat:keyword", | ||||
123 | "dcat:landingPage", | ||||
124 | "dcterms:hasVersion", | ||||
125 | "dcterms:format", | ||||
126 | "mls:task", | ||||
127 | "datacite:isDescribedBy" | ||||
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129 | "description": "The json representation of the dataset with its | ||||
130 | distributions based on DCAT.", | ||||
131 | "format": "JSON", | ||||
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138 | "name": "Original Metadata", | ||||
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109 | "state": "active", | 150 | "state": "active", | ||
110 | "tags": [ | 151 | "tags": [ | ||
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112 | "display_name": "Anomaly Detection", | 153 | "display_name": "Anomaly Detection", | ||
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140 | "title": "Learning from Multiple Expert Annotators for Enhancing | 181 | "title": "Learning from Multiple Expert Annotators for Enhancing | ||
141 | Anomaly Detection in Medical Image Analysis", | 182 | Anomaly Detection in Medical Image Analysis", | ||
142 | "type": "dataset", | 183 | "type": "dataset", | ||
143 | "version": "" | 184 | "version": "" | ||
144 | } | 185 | } |