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Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus—transfer learning from existing algorithms
BACKGROUND: For the segmentation of medical imaging data, a multitude of precise but very specific algorithms exist. In previous studies, we investigated the possibility of segmenting MRI data to determine cerebrospinal fluid and brain volume using a classical machine learning algorithm. It demonstr...
Autores principales: | Grimm, Florian, Edl, Florian, Kerscher, Susanne R., Nieselt, Kay, Gugel, Isabel, Schuhmann, Martin U. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496050/ https://www.ncbi.nlm.nih.gov/pubmed/32583085 http://dx.doi.org/10.1007/s00701-020-04447-x |
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