Anomaly detection for high-content image-based phenotypic cell profiling.

Abstract excerpt

High-content image-based phenotypic profiling combines automated microscopy and analysis to identify phenotypic alterations in cell morphology and provide insight into the cell's physiological state. Classical representations of the phenotypic profile cannot capture the full underlying complexity in cell organization, while recent weakly supervised machine-learning-based representation-learning methods are hard...

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