MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images

This dataset provides the first comprehensive collection of histopathological images for the study and automated diagnosis of mycetoma, a neglected tropical disease. The dataset includes 864 microscopic images from 142 patients, annotated with binary masks for grain detection and segmentation. The images represent both eumycetoma (fungal, FM) and actinomycetoma (bacterial, BM) cases, offering a valuable resource for developing and evaluating AI models for disease classification and segmentation tasks. This dataset supports the advancement of digital pathology solutions.

Data en bronnen

Deze gegevensset heeft geen inhoud

Extra Informatie

Veld Waarde
Titel MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images
Omschrijving

This dataset provides the first comprehensive collection of histopathological images for the study and automated diagnosis of mycetoma, a neglected tropical disease. The dataset includes 864 microscopic images from 142 patients, annotated with binary masks for grain detection and segmentation. The images represent both eumycetoma (fungal, FM) and actinomycetoma (bacterial, BM) cases, offering a valuable resource for developing and evaluating AI models for disease classification and segmentation tasks. This dataset supports the advancement of digital pathology solutions.
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
    http://health-ri.nl
    Creator
    Creator 1
    URI
    Naam
    Lamis Elkeir
    Name (translations)
    Email
    URL
    Type
    Publisher note
    Publisher type
    Identifier
    http://example.com
    Creator 2
    URI
    Naam
    Hyam Ali
    Name (translations)
    Email
    URL
    Type
    Publisher note
    Publisher 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
    In Series
      Versie
      Version notes
      Identifier https://xnat-acc.health-ri.nl/data/archive/projects/africai_miccai2024_maIcetoma
      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/e2dfd78b-a8c1-4e24-9458-ad215cd3fe69