Automated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach.

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dc.contributor.authorWasswa, William
dc.contributor.authorWare, Andrew
dc.contributor.authorBasaza-Ejiri, Annabella Habinka
dc.contributor.authorObungoloch, Johnes
dc.date.accessioned2022-11-02T11:14:01Z
dc.date.available2022-11-02T11:14:01Z
dc.date.issued2021
dc.description.abstractDigital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology especially for cervical cancer screening from pap-smears. Manual assessment of pap-smears is labour intensive and prone to interobserver variations. Computer-aided methods, which can significantly improve the objectivity and reproducibility, have attracted a great deal of interest in recent literature. A critical prerequisite in automated analysis of pap-smears is nucleus and cytoplasm segmentation, which is the basis of cervical cancer screening. This paper articulates a potent approach to the segmentation of cervical cells into nucleus and cytoplasm using a quadtree decomposition approach with statistical measures.en_US
dc.identifier.citationWilliam, W., Ware, A., Basaza-Ejiri, A. H., & Obungoloch, J. (2021). Automated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach.https://doi.org/10.21203/rs.3.rs-955958/v2en_US
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5132
dc.language.isoenen_US
dc.publisherResearch squareen_US
dc.subjectCell Segmentation, Quadtree, Pap-smear, Cervical cancer,en_US
dc.titleAutomated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach.en_US
dc.typeArticleen_US
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