Comparing ensemble methods combined with different aggregating models using micrograph cell segmentation as an initial application example

Strategies such as ensemble learning and averaging techniques try to reduce the variance of single deep neural networks. The focus of this study is on ensemble averaging techniques, fusing the results of differently initialized and trained networks. Thereby, using micrograph cell segmentation as an...

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Detalles Bibliográficos
Autores principales: Göb, St., Sawant, S., Erick, F.X., Schmidkonz, C., Ramming, A., Lang, E.W., Wittenberg, T., Götz, Th.I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034515/
https://www.ncbi.nlm.nih.gov/pubmed/36967835
http://dx.doi.org/10.1016/j.jpi.2023.100304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034515/
https://www.ncbi.nlm.nih.gov/pubmed/36967835
http://dx.doi.org/10.1016/j.jpi.2023.100304

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