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Segmentation of intact cell nuclei from three-dimensional (3D) images of thick tissue sections is an important basic capability necessary for many biological research studies. However, segmentation is often difficult because of the tight clustering of nuclei in many specimen types. We present a 3D segmentation approach that combines the recognition(More)
INTRODUCTION Normal and neoplastic breast tissues are comprised of heterogeneous populations of epithelial cells involving various degrees of maturation and differentiation. While cultured cell lines have been derived from both normal and malignant tissues, it remains unclear whether they retain a similar cellular heterogeneity as to that found within(More)
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