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Application of a Deep Learning System in Pterygium Grading and Further Prediction of Recurrence with Slit Lamp Photographs.

Kuo-Hsuan HungChihung LinJinsheng RoanChang Fu KuoChing-Hsi HsiaoHsin-Yuan TanHung-Chi ChenDavid Hui-Kang MaLung-Kun YehOscar Kuang-Sheng Lee
Published in: Diagnostics (Basel, Switzerland) (2022)
Deep learning systems can be useful in pterygium grading based on slit lamp photographs. When clinical parameters involved in the prediction of pterygium recurrence were included, the algorithm showed higher specificity and negative predictive value in prediction.
Keyphrases
  • deep learning
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • loop mediated isothermal amplification
  • free survival