Performance assessment of the deep learning technologies in grading glaucoma severity

31 Oct 2018Yi ZhenLei WangHan LiuJian ZhangJiantao Pu

Objective: To validate and compare the performance of eight available deep learning architectures in grading the severity of glaucoma based on color fundus images. Materials and Methods: We retrospectively collected a dataset of 5978 fundus images and their glaucoma severities were annotated by the consensus of two experienced ophthalmologists... (read more)

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