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Breast-tissue microarrays facilitate the survey of very large numbers of tumours but their scoring by pathologists is time consuming, typically highly quantised and not without error. Automated segmentation of cells and intra-cellular compartments in such data can be problematic for reasons that include cell overlapping, complex tissue structure, debris, and variable appearance. This paper proposes a computationally efficient approach that approximates the density of colour and local invariantdoi:10.1158/0008-5472.sabcs-4010 fatcat:khonkwqkjzgrlkd7z7jlgezz64