Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI

Accurate segmentation of surgical resection sites is critical for clinical assessments and neuroimaging research applications, including resection extent determination, predictive modeling of surgery outcome, and masking image processing near resection sites. In this study, an automated resection ca...

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Detalles Bibliográficos
Autores principales: Arnold, T. Campbell, Muthukrishnan, Ramya, Pattnaik, Akash R., Sinha, Nishant, Gibson, Adam, Gonzalez, Hannah, Das, Sandhitsu R., Litt, Brian, Englot, Dario J., Morgan, Victoria L., Davis, Kathryn A., Stein, Joel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402390/
https://www.ncbi.nlm.nih.gov/pubmed/35988342
http://dx.doi.org/10.1016/j.nicl.2022.103154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402390/
https://www.ncbi.nlm.nih.gov/pubmed/35988342
http://dx.doi.org/10.1016/j.nicl.2022.103154

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