CLASSIFYING NEOVASCULAR AGE-RELATED MACULAR DEGENERATION WITH A DEEP CONVOLUTIONAL NEURAL NETWORK BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES

Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images

Abstract Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide.We built a deep Herbal Cream learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) images.Data from SD-OCT images of nAMD (polypoidal choroidal vasculopathy, retinal angiomatou

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Genetic and transcriptomic dissection of the fiber length trait from a cotton (Gossypium hirsutum L.) MAGIC population

Abstract Background Improving cotton fiber length without reducing yield is one of the major goals of cotton breeding.However, genetic improvement of cotton fiber length by breeding has been a challenge due to the narrow genetic diversity of modern cotton cultivars and negative correlations between fiber quality and yield traits.A multi-parent adva

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Communication for development in Africa

A major concem about African development is not so much that the war on povelfy is far from being won but because the practice of development administrators lacks professionalism.Calls for involving beneficiaries in democratic project decision making, for conducting systematic social science research as the basis for external intervention, and for

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