DEVO: an ontology to assist with dermoscopic feature standardization.

Journal: BMC medical informatics and decision making
Published Date: Aug 18, 2023

Abstract

BACKGROUND: The utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. With the expansion of dermoscopy, its vocabulary has proliferated, but the rapid evolution of the vocabulary of dermoscopy without standardized control is counterproductive. We aimed to develop a domain-specific ontology to formally represent knowledge for certain dermoscopic features.

Authors

  • Xinyuan Zhang
    Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China.
  • Rebecca Z Lin
    Division of Dermatology, Washington University School of Medicine, St. Louis, MO, USA.
  • Muhammad Tuan Amith
    University of North Texas, USA.
  • Cynthia Wang
    Division of Dermatology, Washington University School of Medicine, St. Louis, MO, USA.
  • Jeremy Light
    Division of Dermatology, Washington University School of Medicine, St. Louis, MO, USA.
  • John Strickley
    Division of Dermatology, Washington University School of Medicine, St. Louis, MO, USA.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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