Histology is a critical tool in medicine and therefore automated histology analysis could have a profound effect on health-care quality availability and cost. At the same time the field provides a host of fascinating signal processing challenges. Automated image segmentation for cell analysis is generally a difficult problem due to the large variability (different microscopes stains cell types cell densities and complexity of the data (possibly time-lapse images acquired at multiple wavelengths using multiple microscopes and containing large numbers of cells).
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