Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples

Overview of attention for article published in Frontiers in Microbiology, March 2021

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An innovative image pixel-based supervised machine learning method that translates unique pathogen antigens to the universal basic color language for accurate serological diagnosis. https://t.co/zCih2oyJyL

28 Mar 2021

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Pixel-Based #MachineLearning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples - PubMed https://t.co/9FrlJoGs9u H/T: @DrCleoA

26 Mar 2021

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Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samples https://t.co/NK6dKbDBxc

26 Mar 2021

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RT @FrontMicrobiol: New Research: Pixel-Based Machine Learning and Image Reconstitution for Dot-ELISA Pathogen Diagnosis in Biological Samp…

04 Mar 2021

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