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Perth Machine Learning Group first paper published in Nature Scientific Methods

"Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentation"

The work addresses a key aspect of operationalizing computer vision workflows, through the efficient generation of supervised labels. This has broad application as a tool, outside of digital pathology, so great to see it published.


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