1. Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography image

    Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography image

    Background/aims To apply deep learning technology to develop an artificial intelligence (AI) system that can identify vision-threatening conditions in high myopia patients based on optical coherence tomography (OCT) macular images. Methods In this cross-sectional, prospective study, a total of 5505 qualified OCT macular images obtained from 1048 high myopia patients admitted to Zhongshan Ophthalmic Centre (ZOC) from 2012 to 2017 were selected for the development of the AI system. The independent test dataset included 412 images obtained from 91 high myopia patients recruited at ZOC from January 2019 to May 2019. We adopted the InceptionResnetV2 architecture to train four ...

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