A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty

A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty

Abstract The efficacy of deep learning in predicting successful big-bubble (SBB) formation during deep anterior lamellar keratoplasty (DALK) was evaluated. Medical records of patients undergoing DALK at the University of Cologne, Germany between March 2013 and July 2019 were retrospectively analyzed...

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Bibliographic Details
Main Authors: Takahiko Hayashi, Hiroki Masumoto, Hitoshi Tabuchi, Naofumi Ishitobi, Mao Tanabe, Michael Grün, Björn Bachmann, Claus Cursiefen, Sebastian Siebelmann
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-98157-8

Internet

https://doi.org/10.1038/s41598-021-98157-8

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