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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Detalhes bibliográficos
Publicado no:Cytometry A
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: John Wiley & Sons, Inc. 2019
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Original Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6771982/
https://ncbi.nlm.nih.gov/pubmed/31313519
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cyto.a.23863
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