Application and Comparison of Supervised Learning Strategies to Classify Polarity of Epithelial Cell Spheroids in 3D Culture.

Soetje, Birga; Fuellekrug, Joachim; Haffner, Dieter; Ziegler, Wolfgang H

Soetje, Birga; Fuellekrug, Joachim; Haffner, Dieter; Ziegler, Wolfgang H.

Afiliación

Soetje B; Department of Paediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School, Hanover, Germany.
Fuellekrug J; Molecular Cell Biology Laboratory, Internal Medicine IV, University Hospital Heidelberg, Heidelberg, Germany.
Haffner D; Department of Paediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School, Hanover, Germany.
Ziegler WH; Department of Paediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School, Hanover, Germany.

Front Genet ; 11: 248, 2020.

Article en En | MEDLINE | ID: mdl-32292417

Palabras clave

3D culture; CNN; deep learning; epithelial morphogenesis; image analysis; machine learning; polarity; spheroids

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Alemania

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