Effect of head motion-induced artefacts on the reliability of deep learning-based whole-brain segmentation

Due to their robustness and speed, recently developed deep learning-based methods have the potential to provide a faster and hence more scalable alternative to more conventional neuroimaging analysis pipelines in terms of whole-brain segmentation based on magnetic resonance (MR) images. These method...

Descripción completa

Detalles Bibliográficos
Autores principales: Kemenczky, Péter, Vakli, Pál, Somogyi, Eszter, Homolya, István, Hermann, Petra, Gál, Viktor, Vidnyánszky, Zoltán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803940/
https://www.ncbi.nlm.nih.gov/pubmed/35102199
http://dx.doi.org/10.1038/s41598-022-05583-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803940/
https://www.ncbi.nlm.nih.gov/pubmed/35102199
http://dx.doi.org/10.1038/s41598-022-05583-3

Ejemplares similares