Data cluster analysis-based classification of overlapping nuclei in Pap smear samples.
2014
Background
The extraction of overlapping cell nuclei is a critical issue in automated diagnosis systems. Due to the similarities between overlapping and malignant nuclei, misclassification of the overlapped regions can affect the automated systems’ final decision. In this paper, we present a method for detecting overlapping cell nuclei in Pap smear samples.
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