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Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography.

Joon Yul ChoiIk Hee RyuJin Kuk KimIn Sik LeeTae Keun Yoo
Published in: BMC medical informatics and decision making (2024)
We proposed an ERM detection model by synthesizing realistic CFP images with the pathological features of ERM through generative deep learning. We believe that our deep learning framework will help achieve a more accurate detection of ERM in a limited data setting.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • loop mediated isothermal amplification
  • label free
  • real time pcr
  • machine learning
  • big data
  • optical coherence tomography
  • data analysis