Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 1, 2021

Abstract

BACKGROUND AND OBJECTIVE: The purpose of the present study was to investigate low-shot deep learning models applied to conjunctival melanoma detection using a small dataset with ocular surface images.

Authors

  • Tae Keun Yoo
  • Joon Yul Choi
    Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea.
  • Hong Kyu Kim
    Department of Ophthalmology, Dankook University Hospital, Dankook University College of Medicine, Cheonan, South Korea.
  • Ik Hee Ryu
    B&VIIt Eye Center, Seoul, South Korea.
  • Jin Kuk Kim
    B&VIIt Eye Center, Seoul, South Korea.

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