Cervical cell nuclei segmentation based on GC-UNet

Cervical cancer diagnosis hinges significantly on precise nuclei segmentation at early stages, which however, remains largely elusive due to challenges such as overlapping cells and blurred nuclei boundaries. This paper presents a novel deep neural network (DNN), the Global Context UNet (GC-UNet), d...

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Detalles Bibliográficos
Autores principales: Zhang, Enguang, Xie, Rixin, Bian, Yuxin, Wang, Jiayan, Tao, Pengyi, Zhang, Heng, Jiang, Shenlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345258/
https://www.ncbi.nlm.nih.gov/pubmed/37456010
http://dx.doi.org/10.1016/j.heliyon.2023.e17647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345258/
https://www.ncbi.nlm.nih.gov/pubmed/37456010
http://dx.doi.org/10.1016/j.heliyon.2023.e17647

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