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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Bibliografiska uppgifter
I publikationen:Cytometry A
Huvudupphovsmän: 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.
Materialtyp: Artigo
Språk:Inglês
Publicerad: John Wiley & Sons, Inc. 2019
Ämnen:
Original Articles
Länkar: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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