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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...
Autores principales: | Zhang, Angela, Khan, Amil, Majeti, Saisidharth, Pham, Judy, Nguyen, Christopher, Tran, Peter, Iyer, Vikram, Shelat, Ashutosh, Chen, Jefferson, Manjunath, B. S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2022
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Materias: | |
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 |
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