Acral melanoma detection using a convolutional neural network for dermoscopy images.

Journal: PloS one
Published Date: Mar 7, 2018

Abstract

BACKGROUND/PURPOSE: Acral melanoma is the most common type of melanoma in Asians, and usually results in a poor prognosis due to late diagnosis. We applied a convolutional neural network to dermoscopy images of acral melanoma and benign nevi on the hands and feet and evaluated its usefulness for the early diagnosis of these conditions.

Authors

  • Chanki Yu
    Department of Media Technology, Graduate School of Media, Sogang University, Seoul, Republic of Korea.
  • Sejung Yang
    Medical Physics Division, Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, United States of America.
  • Wonoh Kim
    Department of Dermatology, Keimyung University, College of Medicine, Daegu, Republic of Korea.
  • Jinwoong Jung
    Department of Dermatology, Keimyung University, College of Medicine, Daegu, Republic of Korea.
  • Kee-Yang Chung
    Department of Dermatology and Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Sang Wook Lee
    Department of Media Technology, Graduate School of Media, Sogang University, Seoul, Republic of Korea.
  • Byungho Oh
    Department of Dermatology, Keimyung University, College of Medicine, Daegu, Republic of Korea.

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