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...

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Detalles Bibliográficos
Autores principales: Grimm, Florian, Edl, Florian, Kerscher, Susanne R., Nieselt, Kay, Gugel, Isabel, Schuhmann, Martin U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2020
Materias:
Original Article - Pediatric Neurosurgery
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

Internet

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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