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Weighted average ensemble-based semantic segmentation in biological electron microscopy images

Semantic segmentation of electron microscopy images using deep learning methods is a valuable tool for the detailed analysis of organelles and cell structures. However, these methods require a large amount of labeled ground truth data that is often unavailable. To address this limitation, we present...

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Detalles Bibliográficos
Autores principales: Shaga Devan, Kavitha, Kestler, Hans A., Read, Clarissa, Walther, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630254/
https://www.ncbi.nlm.nih.gov/pubmed/35988009
http://dx.doi.org/10.1007/s00418-022-02148-3

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