Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images

Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in mice. A challenge is that lesion segmentation often relies on manual tracing by trained experts, which is labor-intensive, time-consuming, and prone to inter- and intra-rater variability. Here, we present a fully...

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Detalles Bibliográficos
Autores principales: An, Jeehye, Wendt, Leo, Wiese, Georg, Herold, Tom, Rzepka, Norman, Mueller, Susanne, Koch, Stefan Paul, Hoffmann, Christian J., Harms, Christoph, Boehm-Sturm, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432383/
https://www.ncbi.nlm.nih.gov/pubmed/37587160
http://dx.doi.org/10.1038/s41598-023-39826-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432383/
https://www.ncbi.nlm.nih.gov/pubmed/37587160
http://dx.doi.org/10.1038/s41598-023-39826-8

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