Automated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach.
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Research square
Abstract
Digital 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.
Description
Keywords
Cell Segmentation, Quadtree, Pap-smear, Cervical cancer,
Citation
William, 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/v2