Deep Learning Based Instance Segmentation of Titanium Dioxide Particles in the Form of Agglomerates in Scanning Electron Microscopy

The size characterization of particles present in the form of agglomerates in images measured by scanning electron microscopy (SEM) requires a powerful image segmentation tool in order to properly define the boundaries of each particle. In this work, we propose to use an algorithm from the deep stat...

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Detalles Bibliográficos
Autores principales: Monchot, Paul, Coquelin, Loïc, Guerroudj, Khaled, Feltin, Nicolas, Delvallée, Alexandra, Crouzier, Loïc, Fischer, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068950/
https://www.ncbi.nlm.nih.gov/pubmed/33918779
http://dx.doi.org/10.3390/nano11040968

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068950/
https://www.ncbi.nlm.nih.gov/pubmed/33918779
http://dx.doi.org/10.3390/nano11040968

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