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Superpixel-Based Endmember Extraction for Hyperspectral Endometriosis Detection

Journal article

Fast facts

  • Internal authorship

  • Further publishers

    Stefan Patzke, Christian Wöhler

  • Publishment

    • de Gruyter 2025
  • Purpose of publication

  • Organizational unit

  • Subjects

    • Computer science in general
    • Applied computer science
    • Artificial intelligence
    • Biomedical technology
    • Engineering sciences in general
    • Medical technology
    • Communication and information technology
  • Research structures

    • BioMedicalTechnology (BMT)
  • Research fields

    • Globalization and sustainability - General
    • Robotics
    • Information Technology - General
    • Information technology
    • Artificial intelligence and big data

Quote

S. Patzke, C. Wöhler, and J. Thiem, “Superpixel-Based Endmember Extraction for Hyperspectral Endometriosis Detection,” Current Directions in Biomedical Engineering, no. 1, pp. 346–349, 2025, doi: 10.1515/cdbme-2025-0188

About the publication

References and Relationships

DOI 10.1515/cdbme-2025-0188

Notes and references

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