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

• Egile Nagusiak: St. Göb (Egilea), S. Sawant (Egilea), F.X. Erick (Egilea), C. Schmidkonz (Egilea), A. Ramming (Egilea), E.W. Lang (Egilea), T. Wittenberg (Egilea), Th.I. Götz (Egilea)
• Formatua: Liburua
• Argitaratua: Elsevier, 2023-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

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...