Predicting keratoconus progression and need for corneal crosslinking using deep learning

HIGHLIGHTS

• who: Naoko Kato and collaborators from the Department of Ophthalmology, School of Medicine, Keio University, Tokyo, Japan have published the Article: Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning, in the Journal: (JOURNAL) of 15/02/2021
• what: The authors aimed to predict keratoconus progression and the need for corneal crosslinking (CXL) using deep learning (DL). The aim of CXL is to halt the progression of keratoconus.
• future: The authors excluded cases with pellucid marginal degeneration from this study which shows protrusion and thinning of the lower part of the . . .
  

   

  

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