Assessing spectral effectiveness in color fundus photography for deep learning classification of retinopathy of prematurity

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Abstract
Retinopathy of prematurity (ROP) occurs in premature infants due to underdeveloped retinal vasculature at birth,1 causing abnormal blood vessel growth at the boundary of partially vascularized and avascular retinal areas.2,3 ROP is the leading preventable cause of childhood blindness worldwide.4,5 The severity of ROP is classified into five stages, corresponding to mild to severe stages.6 Appropriate detection and accurate ROP diagnosis in premature infants is crucial to prevent irreversible vision loss and associated visual developmental complications such as astigmatism, myopia, glaucoma, cataracts, anisometropia, amblyopia, strabismus, and retinal detachment.7,8

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