DeepCell Kiosk: scaling deep learning-enabled cellular image analysis with Kubernetes.
Nat Methods
; 18(1): 43-45, 2021 01.
Article
em En
| MEDLINE
| ID: mdl-33398191
ABSTRACT
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/ .
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
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Software
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Diagnóstico por Imagem
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Núcleo Celular
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Aprendizado Profundo
Tipo de estudo:
Diagnostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article