Automated Cell Foreground–Background Segmentation with Phase-Contrast Microscopy Images: An Alternative to Machine Learning Segmentation Methods with Small-Scale Data

Cell segmentation is a critical step for image-based experimental analysis. Existing cell segmentation methods are neither entirely automated nor perform well under basic laboratory microscopy. This study proposes an efficient and automated cell segmentation method involving morphological operations...

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Detalles Bibliográficos
Autores principales: Ye, Guochang, Kaya, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869246/
https://www.ncbi.nlm.nih.gov/pubmed/35200434
http://dx.doi.org/10.3390/bioengineering9020081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869246/
https://www.ncbi.nlm.nih.gov/pubmed/35200434
http://dx.doi.org/10.3390/bioengineering9020081

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