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Darwins Neural Network AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening

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Document pages: 19 pages

Abstract: Recent advances in the interdisciplinary scientific field of machineperception, computer vision, and biomedical engineering underpin a collectionof machine learning algorithms with a remarkable ability to decipher thecontents of microscope and nanoscope images. Machine learning algorithms aretransforming the interpretation and analysis of microscope and nanoscopeimaging data through use in conjunction with biological imaging modalities.These advances are enabling researchers to carry out real-time experiments thatwere previously thought to be computationally impossible. Here we adapt thetheory of survival of the fittest in the field of computer vision and machineperception to introduce a new framework of multi-class instance segmentationdeep learning, Darwin s Neural Network (DNN), to carry out morphometricanalysis and classification of COVID19 and MERS-CoV collected in vivo and ofmultiple mammalian cell types in vitro.

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