Adversarial domain adaptation with an EfficientNetV2 backbone improves classification of foodborne bacteria across microscopy modalities and magnifications using as few as 1 to 5 labeled target images per species.
Microbial detection and identification methods: Bench top assays to omics approaches
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Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability
Adversarial domain adaptation with an EfficientNetV2 backbone improves classification of foodborne bacteria across microscopy modalities and magnifications using as few as 1 to 5 labeled target images per species.