AFRICAI_MICCAI2024_AMONUSEG

EuCanImage will build a highly secure, federated and large-scale cancer imaging platform, with capabilities that will greatly enhance the potential of Artificial Intelligence in oncology. (eucanimage.eu) For MICCAI 2024, we are hosting several African datasets to exploit our knowledge and infrastructure with the aim to have more data from under-represented diseases and populations present to complement our European datasets

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Additional Info

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Title AFRICAI_MICCAI2024_AMONUSEG
Description

EuCanImage will build a highly secure, federated and large-scale cancer imaging platform, with capabilities that will greatly enhance the potential of Artificial Intelligence in oncology. (eucanimage.eu) For MICCAI 2024, we are hosting several African datasets to exploit our knowledge and infrastructure with the aim to have more data from under-represented diseases and populations present to complement our European datasets
Keywords
Contact points
Contact point 1
URI
Name
Health-RI servicedesk
Name (translations)
Email
servicedesk@health-ri.nl
Identifier
http://example.com/
URL
Publisher
Publisher 1
URI
Name
Health-RI
Name (translations)
Email
URL
Type
Identifier
http://health-ri.nl
Creator
Creator 1
URI
Name
Hasnae Zerouaoui
Name (translations)
Email
URL
Type
Identifier
http://example.com
Landing page
Release date 2024-12-09T10:47:27+00:00
Modification date 2024-12-09T10:47:27+00:00
Temporal start date
Temporal end date
In Series
    Version
    Version notes
    Identifier https://xnat-acc.health-ri.nl/data/archive/projects/africai_miccai2024_amonuseg
    Frequency
    Provenance
    Type
    Temporal coverage
    Temporal resolution
    Spatial coverage
    Spatial resolution in meters
    Access rights
    Other identifier
    Theme
    1. http://publications.europa.eu/resource/authority/data-theme/HEAL
    Language
    1. http://id.loc.gov/vocabulary/iso639-1/en
    Documentation
    Conforms to
    Is referenced by
    Analytics
    Applicable legislation
    Has version
    Code values
    Coding system
    Purpose
    Health category
    Health theme
    Legal basis
    Minimum typical age
    Maximum typical age
    Number of records
    Number of records for unique individuals.
    Personal data
    Publisher note
    Publisher type
    Trusted Data Holder
    Population coverage
    Retention period
    Health data access body
    Qualified relation
    Provenance activity
    Qualified attribution
    Quality annotations
    URI https://fdp-acc.healthdata.nl/dataset/151fcae9-6df4-465f-b06d-6f5e98619c7b