ArticleComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society2017
Graph-based segmentation of abnormal nuclei in cervical cytology.
Article in Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 51 citations in OpenAlex.
- Association Between Urinary Cotinine and Whole-Slide Digital Cytomorphometric Alterations in the Oral Mucosa of Tobacco Smoke-Exposed Cats.Veterinary sciences · 2026Article
- Fine-grained pathomorphology recognition of cervical lesions with a dropped multibranch Swin Transformer.Quantitative imaging in medicine and surgery · 2025Article
- Detection of Cervical Cancer Cells in Whole Slide Images Using Deformable and Global Context Aware Faster RCNN-FPN.Current oncology (Toronto, Ont.) · 2021Article
- Cric searchable image database as a public platform for conventional pap smear cytology data.Scientific data · 2021Article
- A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification.International journal of molecular sciences · 2019Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
A general method is reported for improving the segmentation of abnormal cell nuclei in cervical cytology images. In automation-assisted reading of cervical cytology, one of the essential steps is the segmentation of nuclei. Despite some progress, there is a need to improve the sensitivity, particularly the segmentation of abnormal nuclei. Our method starts with pre-segmenting the nucleus to define the coarse center and size of nucleus, which is used to construct a graph by image unfolding that maps ellipse-like border in the Cartesian coordinate system to lines in the polar coordinate system. The cost function jointly reflects properties of nucleus border and nucleus region. The prior constraints regarding the context of nucleus-cytoplasm position are utilized to modify the local cost functions. The globally optimal path in the constructed graph is then identified by dynamic programming with an iterative approach ensuring an optimal closed contour. Validation of our method was performed on abnormal nuclei from two cervical cell image datasets, Herlev and H&E stained manual liquid-based cytology (HEMLBC). Compared with five state-of-the-art approaches, our graph-search based method shows superior performance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.