Intracerebral Haemorrhage Segmentation in Non-Contrast CT

A 3-dimensional (3D) convolutional neural network is presented for the segmentation and quantification of spontaneous intracerebral haemorrhage (ICH) in non-contrast computed tomography (NCCT). The method utilises a combination of contextual information on multiple scales for fast and fully automati...

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Detalles Bibliográficos
Autores principales: Patel, Ajay, Schreuder, Floris H. B. M., Klijn, Catharina J. M., Prokop, Mathias, Ginneken, Bram van, Marquering, Henk A., Roos, Yvo B. W. E. M., Baharoglu, M. Irem, Meijer, Frederick J. A., Manniesing, Rashindra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882855/
https://www.ncbi.nlm.nih.gov/pubmed/31780815
http://dx.doi.org/10.1038/s41598-019-54491-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882855/
https://www.ncbi.nlm.nih.gov/pubmed/31780815
http://dx.doi.org/10.1038/s41598-019-54491-6

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