Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and classical image processing algorithms are most commonly used for this task. Recent developments in deep learning can yield superior accuracy, but typical evaluation metrics for nucleus segmentation do not s...

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Detalles Bibliográficos
Autores principales: Caicedo, Juan C., Roth, Jonathan, Goodman, Allen, Becker, Tim, Karhohs, Kyle W., Broisin, Matthieu, Molnar, Csaba, McQuin, Claire, Singh, Shantanu, Theis, Fabian J., Carpenter, Anne E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771982/
https://www.ncbi.nlm.nih.gov/pubmed/31313519
http://dx.doi.org/10.1002/cyto.a.23863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771982/
https://www.ncbi.nlm.nih.gov/pubmed/31313519
http://dx.doi.org/10.1002/cyto.a.23863

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