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We propose a framework to detect and segment nuclei and segment overlapping cytoplasm in cervical cytology images. This is a challenging task due to folded cervical cells with spurious edges, poor contrast of cytoplasm and presence of neutrophils and artifacts. The algorithm segments nuclei and cell clumps in extended depth of field (EDF) images and uses volume images to segment overlapping cytoplasm...
Detection and segmentation of overlapping cell nuclei and cytoplasm in multi-layer Pap smear volumes are critical prerequisites for automatic screening of cervical cancer. The novel approach proposed here is an improved version of our top ranked method for the Segmentation of Overlapping Cervical Cells from Multi-layer Cytology Preparation Volumes Challenge — ISBI 2015. From the images provided of...
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