Semantic segmentation of synchrotron tomography of multiphase Al-Si alloys using a convolutional neural network with a pixel-wise weighted loss function

Human-based segmentation of tomographic images can be a tedious time-consuming task. Deep learning algorithms and, particularly, convolutional neural networks have become state of the art techniques for pattern recognition in digital images that can replace human-based image segmentation. However, t...

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Detalles Bibliográficos
Autores principales: Strohmann, Tobias, Bugelnig, Katrin, Breitbarth, Eric, Wilde, Fabian, Steffens, Thomas, Germann, Holger, Requena, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928157/
https://www.ncbi.nlm.nih.gov/pubmed/31873105
http://dx.doi.org/10.1038/s41598-019-56008-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928157/
https://www.ncbi.nlm.nih.gov/pubmed/31873105
http://dx.doi.org/10.1038/s41598-019-56008-7

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