A patient-oriented, general-practitioner-level, deep-learning-based cutaneous pigmented lesion risk classifier on a smartphone.

Journal: The British journal of dermatology
Published Date:

Abstract

No abstract available for this article.

Authors

  • Y P H Chin
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Z Y Hou
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • M Y Lee
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • H M Chu
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
  • H H Wang
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Y T Lin
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • A Gittin
    Department of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • S C Chien
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • P A Nguyen
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • L C Li
    International Centre for Health Information Technology, Taipei Medical University, Taipei, Taiwan.
  • T H Chang
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Y C J Li
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.