An automated image segmentation and classification algorithm for immunohistochemically stained tumor cell nuclei


As medical image data sets are digitized and the number of data sets is increasing exponentially, there is a need for automated image processing and analysis technique. Most medical imaging methods require human visual inspection and manual measurement which are labor intensive and often produce inconsistent results. In this paper, we propose an automated… (More)
DOI: 10.1117/12.811185

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