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Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability
ref [11] · 2411.19514 · notice #9916 · dispute
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Ma, L., Yi, J., Wisuthiphaet, N., Earles, M., Nitin, N., 2023. Accelerating the detection of bacteria in food using artificial intelligence and optical imaging. Applied and Environmental Microbiology 89, e01828–22. doi:10.1128/aem.01828-22