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Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm
In the screening of cervical cancer cells, accurate identification and segmentation of nucleus in cell images is a key part in the early diagnosis of cervical cancer. Overlapping, uneven staining, poor contrast, and other reasons present challenges to cervical nucleus segmentation. We propose a segm...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161549/ https://www.ncbi.nlm.nih.gov/pubmed/32279589 http://dx.doi.org/10.1080/21655979.2020.1747834 |