From 2 dimensions to 3rd dimension: quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning

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  • who: Zhi Da Soh et al. from the Editor:, University of Cagliari: University Hospital, Singapore, Tsinghua Medicine, Tsinghua University, China have published the paper: From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning, in the Journal: (JOURNAL)
  • what: This study shows the possibility of predicting ACD from ASPs via DL. The study shows that depth (i.e. ACD) may be predicted from 2-dimension photographs using deep-learning. This study aims to develop a proof-of-concept DL algorithm to predict ACD quantitatively from anterior . . .

     

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