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Superpixel-Based Endmember Extraction for Hyperspectral Endometriosis Detection

Journal article

Fast facts

  • Further publishers

    Christian Wöhler

  • Publishment

    • de Gruyter (Berlin; Boston) 2025
  • Purpose of publication

  • Organizational unit

  • Subjects

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

About the publication

References

DOI doi.org/10.1515/cdbme-2025-0188

Notes and references

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