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Agnostic discovery using machine learning and tissue cytometry. Proposed approach to use imaging data of cell nuclei in machine learning workflows that allow non-exhaustive classification of new classes that could be visualized and further analyzed using tissue cytometry. Green arrows point to the two proposed approaches: zero-shot and Bayesian non-exhaustive learning.
