A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations

The automatic detection of cells in microscopy image sequences is a significant task in biomedical research. However, routine microscopy images with cells, which are taken during the process whereby constant division and differentiation occur, are notoriously difficult to detect due to changes in th...

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Detalles Bibliográficos
Autores principales: Wu, Hao, Niyogisubizo, Jovial, Zhao, Keliang, Meng, Jintao, Xi, Wenhui, Li, Hongchang, Pan, Yi, Wei, Yanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670924/
https://www.ncbi.nlm.nih.gov/pubmed/38003217
http://dx.doi.org/10.3390/ijms242216028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670924/
https://www.ncbi.nlm.nih.gov/pubmed/38003217
http://dx.doi.org/10.3390/ijms242216028

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