Semi-supervised nuclei segmentation based on multi-edge features fusion attention network

The morphology of the nuclei represents most of the clinical pathological information, and nuclei segmentation is a vital step in current automated histopathological image analysis. Supervised machine learning-based segmentation models have already achieved outstanding performance with sufficiently...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Huachang, Zhong, Jing, Lin, Liyan, Chen, Yanping, Shi, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212084/
https://www.ncbi.nlm.nih.gov/pubmed/37228137
http://dx.doi.org/10.1371/journal.pone.0286161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212084/
https://www.ncbi.nlm.nih.gov/pubmed/37228137
http://dx.doi.org/10.1371/journal.pone.0286161

Ejemplares similares