Abstract:Background: The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring a refractor or retinoscopy under cycloplegia. Retinal fundus photographs (RFPs) supply a wealth of information related to the human eye and might provide a new approach that is more convenient and objective. Here, we aimed to develop and validate a fusion model-based intelligent retinoscopy system (FMIRS) to identify ocular refraction via RFPs and compare with the cycloplegic refraction. In this population-bas… Show more
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