Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search

MOTIVATION: Live cell segmentation is a crucial step in biological image analysis and is also a challenging task because time-lapse microscopy cell sequences usually exhibit complex spatial structures and complicated temporal behaviors. In recent years, numerous deep learning-based methods have been...

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Detalles Bibliográficos
Autores principales: Zhu, Yanming, Meijering, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665766/
https://www.ncbi.nlm.nih.gov/pubmed/34329376
http://dx.doi.org/10.1093/bioinformatics/btab556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665766/
https://www.ncbi.nlm.nih.gov/pubmed/34329376
http://dx.doi.org/10.1093/bioinformatics/btab556

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