Clinically Applicable Deep Learning Framework for Measurement of the Extent of Hair Loss in Patients With Alopecia Areata.

Journal: JAMA dermatology
PMID: 32785607

Abstract

This study aims to develop a deep learning framework to determine the Severity of Alopecia Tool (SALT) score for measurement of hair loss in patients with alopecia areata.

Authors

  • Solam Lee
    Department of Dermatology and Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Jong Won Lee
    Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Republic of Korea.
  • Sung Jay Choe
    Department of Dermatology and Institute of Hair and Cosmetic Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Sejung Yang
    Medical Physics Division, Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, United States of America.
  • Sang Baek Koh
    Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Yeon Soon Ahn
    Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Won-Soo Lee
    Department of Dermatology and Institute of Hair and Cosmetic Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.

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