Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset Article Swipe
Rocío del Amor
,
Jose Pérez-Cano
,
Miguel López-Pérez
,
Liria Térradez
,
José Aneiros‐Fernández
,
Sandra Morales
,
Javier Mateos
,
Rafael Molina
,
Valery Naranjo
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.artmed.2023.102686
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.artmed.2023.102686
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.artmed.2023.102686
- OA Status
- green
- Cited By
- 8
- References
- 64
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387702130
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387702130Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.artmed.2023.102686Digital Object Identifier
- Title
-
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN datasetWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-10-17Full publication date if available
- Authors
-
Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, Liria Térradez, José Aneiros‐Fernández, Sandra Morales, Javier Mateos, Rafael Molina, Valery NaranjoList of authors in order
- Landing page
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https://doi.org/10.1016/j.artmed.2023.102686Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://hdl.handle.net/10251/205299Direct OA link when available
- Concepts
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Crowdsourcing, Computer science, Artificial intelligence, Machine learning, Classifier (UML), Digital pathology, Protocol (science), Annotation, Pattern recognition (psychology), World Wide Web, Alternative medicine, Medicine, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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64Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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