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 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 angiomatous proliferati

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An open-source software analysis package for Microspheres with Ratiometric Barcode Lanthanide Encoding (MRBLEs).

Multiplexed bioassays, in which multiple analytes of interest are probed in parallel within a single small volume, have greatly accelerated the pace of biological discovery.Bead-based multiplexed bioassays have many technical advantages, including near solution-phase kinetics, small sample volume requirements, many within-assay replicates to reduce

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Is Social Distancing Law the New Normal? Forced Shift to Media Online Learning and Its Effectiveness: A Moderating Role of Student Engagement During the Pandemic of COVID-19

The author intends to investigate the role of social distancing laws in the new normal as well as the effectiveness of forced shift to media online learning.This research indicates that student involvement had a moderating influence during the epidemic.This study is based on social learning theory (SLT), which endeavors to emulate the behavior, per

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