Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus

Objective and Impact Statement. We propose an automated method of predicting Normal Pressure Hydrocephalus (NPH) from CT scans. A deep convolutional network segments regions of interest from the scans. These regions are then combined with MRI information to predict NPH. To our knowledge, this is the...

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Detalles Bibliográficos
Autores principales: Zhang, Angela, Khan, Amil, Majeti, Saisidharth, Pham, Judy, Nguyen, Christopher, Tran, Peter, Iyer, Vikram, Shelat, Ashutosh, Chen, Jefferson, Manjunath, B. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521674/
https://www.ncbi.nlm.nih.gov/pubmed/37850185
http://dx.doi.org/10.34133/2022/9783128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521674/
https://www.ncbi.nlm.nih.gov/pubmed/37850185
http://dx.doi.org/10.34133/2022/9783128

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