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Nat Methods
; 18(1): 43-45, 2021 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33398191
RESUMO
Deep learning is transforming the analysis of biological images, but applying these models to large datasets remains challenging. Here we describe the DeepCell Kiosk, cloud-native software that dynamically scales deep learning workflows to accommodate large imaging datasets. To demonstrate the scalability and affordability of this software, we identified cell nuclei in 106 1-megapixel images in ~5.5 h for ~US$250, with a cost below US$100 achievable depending on cluster configuration. The DeepCell Kiosk can be downloaded at https://github.com/vanvalenlab/kiosk-console ; a persistent deployment is available at https://deepcell.org/ .
Assuntos
Núcleo Celular/química , Aprendizado Profundo , Diagnóstico por Imagem/métodos , Processamento de Imagem Assistida por Computador/métodos , Software , Algoritmos , Computação em Nuvem , Humanos , Fluxo de Trabalho
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