A Hybrid-Attention Nested UNet for Nuclear Segmentation in Histopathological Images

Nuclear segmentation of histopathological images is a crucial step in computer-aided image analysis. There are complex, diverse, dense, and even overlapping nuclei in these histopathological images, leading to a challenging task of nuclear segmentation. To overcome this challenge, this paper propose...

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Detalles Bibliográficos
Autores principales: He, Hongliang, Zhang, Chi, Chen, Jie, Geng, Ruizhe, Chen, Luyang, Liang, Yongsheng, Lu, Yanchang, Wu, Jihua, Xu, Yongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925890/
https://www.ncbi.nlm.nih.gov/pubmed/33681291
http://dx.doi.org/10.3389/fmolb.2021.614174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925890/
https://www.ncbi.nlm.nih.gov/pubmed/33681291
http://dx.doi.org/10.3389/fmolb.2021.614174

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