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Dual supervised sampling networks for real-time segmentation of cervical cell nucleus
The morphology of the cervical cell nucleus is the most important consideration for pathological cell identification. And a precise segmentation of the cervical cell nucleus determines the performance of the final classification for most traditional algorithms and even some deep learning-based algor...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411584/ https://www.ncbi.nlm.nih.gov/pubmed/36051871 http://dx.doi.org/10.1016/j.csbj.2022.08.023 |