Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography
British Journal of Ophthalmology Apr 02, 2021
Li B, Chen H, Zhang B, et al. - In the present study, the researchers sought to explore and assess an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography. The identification of normal fundus and 12 major fundus diseases including referable diabetic retinopathy, pathologic myopic retinal degeneration, retinal vein occlusion, retinitis pigmentosa, retinal detachment, wet and dry age-related macular degeneration, epiretinal membrane, macula hole, possible glaucomatous optic neuropathy, papilledema and optic nerve atrophy, was tested using a DLS. The proposed DLS is useful in diagnosing normal fundus and 12 major fundus diseases, indicating that it has a lot of potential for real-world fundus disease screening.
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