EUCanImage_Breast

Within the EuCanImage project (https://eucanimage.eu/), imaging datasets are collected from multiple sites to facilitate the use of AI for cancer research. The BMIA XNAT will be used as main image data storage platform for centralized storage. As first usecase, breast cancer was identified, for which the first datasets will be collected from the University of Barcelona. The data will first be available to partners within the consortium, but will potentially be publicly released

Data and Resources

This dataset has no data

Additional Info

Field Value
Title EUCanImage_Breast
Description

Within the EuCanImage project (https://eucanimage.eu/), imaging datasets are collected from multiple sites to facilitate the use of AI for cancer research. The BMIA XNAT will be used as main image data storage platform for centralized storage. As first usecase, breast cancer was identified, for which the first datasets will be collected from the University of Barcelona. The data will first be available to partners within the consortium, but will potentially be publicly released
Keywords
Contact points
Contact point 1
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Name
Example Data Management office
Name (translations)
Email
datamanager@example.com
Identifier
http://example.com/
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Publisher
Publisher 1
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Name
Example publisher list
Name (translations)
Email
URL
Type
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http://example.com
Creator
Creator 1
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Name
Dr. ir. Stefan Klein
Name (translations)
Email
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http://example.com
Creator 2
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Name
Dr. Karim Lekadir
Name (translations)
Email
URL
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Identifier
http://example.com
Creator 3
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Name
Prof. dr. Aard Lugt van der
Name (translations)
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Identifier
http://example.com
Landing page
Release date 2024-12-05T17:21:08+00:00
Modification date 2024-12-05T17:21:08+00:00
Temporal start date
Temporal end date
In Series
    Version
    Version notes
    Identifier https://xnat-acc.health-ri.nl/data/archive/projects/eucanimage
    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
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    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/4a1fbcae-23e4-4997-8740-15c886ee51d8