WORC

This collection contains the WORC Database: imaging data, segmentations, and ground truth labels (e.g. diagnosis, phenotype, genetics) of 930 anonymized patients collected at the Erasmus Medical Center (Rotterdam, the Netherlands) with a variety of tumor types (e.g. liver, soft tissue, lung metastases) as published in the following two papers:

1) Starmans et al. "Reproducible radiomics through automated machine learning validated on twelve clinical applications", submitted, preprint available from https://arxiv.org/abs/2108.08618; and 2) Starmans et al. "The WORC* database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies", submitted, preprint available from https://doi.org/10.1101/2021.08.19.21262238.

By downloading the data, you agree to the following Data Usage Policy:

The dataset is freely available under the following license: https://xnat.bmia.nl/data/projects/worc/resources/License/files/WORC_data_license.pdf. This license dictates among others that:

1) others can remix, adapt and build upon this work only non-commercially; 2) the data may not be redistributed. 3) when using (part of) this dataset, please cite the two above mentioned papers.

See the license for all conditions (https://xnat.bmia.nl/data/projects/worc/resources/License/files/WORC_data_license.pdf).

Code to download the data and reproduce the radiomics experiments as detailed in the above papers can be found at https://github.com/MStarmans91/WORCDatabase.

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Veld Waarde
Titel WORC
Omschrijving

This collection contains the WORC Database: imaging data, segmentations, and ground truth labels (e.g. diagnosis, phenotype, genetics) of 930 anonymized patients collected at the Erasmus Medical Center (Rotterdam, the Netherlands) with a variety of tumor types (e.g. liver, soft tissue, lung metastases) as published in the following two papers:

1) Starmans et al. "Reproducible radiomics through automated machine learning validated on twelve clinical applications", submitted, preprint available from https://arxiv.org/abs/2108.08618; and 2) Starmans et al. "The WORC* database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies", submitted, preprint available from https://doi.org/10.1101/2021.08.19.21262238.

By downloading the data, you agree to the following Data Usage Policy:

The dataset is freely available under the following license: https://xnat.bmia.nl/data/projects/worc/resources/License/files/WORC_data_license.pdf. This license dictates among others that:

1) others can remix, adapt and build upon this work only non-commercially; 2) the data may not be redistributed. 3) when using (part of) this dataset, please cite the two above mentioned papers.

See the license for all conditions (https://xnat.bmia.nl/data/projects/worc/resources/License/files/WORC_data_license.pdf).

Code to download the data and reproduce the radiomics experiments as detailed in the above papers can be found at https://github.com/MStarmans91/WORCDatabase.

Keywords
Contact points
Contact point 1
URI
Naam
Health-RI servicedesk
Name (translations)
Email
servicedesk@health-ri.nl
Identifier
http://example.com/
URL
    Publisher
    Publisher 1
    URI
    Naam
    Health-RI
    Name (translations)
    Email
    URL
    Type
    Publisher note
    Publisher type
    Identifier
    https://health-ri.nl
    Creator
    Creator 1
    URI
    Naam
    Dr. ir. Stefan Klein
    Name (translations)
    Email
    URL
    Type
    Publisher note
    Publisher type
    Identifier
    http://example.com
    Creator 2
    URI
    Naam
    Dr. Martijn Starmans
    Name (translations)
    Email
    URL
    Type
    Publisher note
    Publisher type
    Identifier
    http://example.com
    Landing page
    Release date 2025-06-30T00:00:14+00:00
    Modification date 2025-06-30T00:00:14+00:00
    In Series
      Versie
      Version notes
      Identifier https://xnat-acc.health-ri.nl/data/archive/projects/worc
      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
      Taal
      1. http://id.loc.gov/vocabulary/iso639-1/en
      Documentation
      Conforms to
      Is referenced by
      Distribution
      Sample
      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/66b9c86c-c96a-45b1-b38b-481c6fbf84b7