In this study, the authors developed a convolutional neural network that successfully detected intraretinal fluid on ocular coherence tomography images. Macular edema, characterized by loss of the blood retinal barrier in very small retinal blood vessels, leads to the accumulation of fluid in the retina that can interfere with vision. The degree of macula edema present is usually inferred by measuring central retinal thickness on ocular coherence tomography images, but this measurement does not fully capture the extent and severity of the intraretinal fluid present.
Continue reading "Deep-learning based, automated segmentation of macular edema in optical coherence tomography"Deep-learning based, automated segmentation of macular edema in optical coherence tomography
