Convolutional Blur Attention Network for Cell Nuclei Segmentation

Accurately segmented nuclei are important, not only for cancer classification, but also for predicting treatment effectiveness and other biomedical applications. However, the diversity of cell types, various external factors, and illumination conditions make nucleus segmentation a challenging task....

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Detalles Bibliográficos
Autores principales: Thi Le, Phuong, Pham, Tuan, Hsu, Yi-Chiung, Wang, Jia-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878074/
https://www.ncbi.nlm.nih.gov/pubmed/35214488
http://dx.doi.org/10.3390/s22041586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8878074/
https://www.ncbi.nlm.nih.gov/pubmed/35214488
http://dx.doi.org/10.3390/s22041586

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