External Validation and Retraining of DeepBleed: The First Open-Source 3D Deep Learning Network for the Segmentation of Spontaneous Intracerebral and Intraventricular Hemorrhage

Background: The objective of this study was to assess the performance of the first publicly available automated 3D segmentation for spontaneous intracerebral hemorrhage (ICH) based on a 3D neural network before and after retraining. Methods: We performed an independent validation of this model using...

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Detalles Bibliográficos
Autores principales: Cao, Haoyin, Morotti, Andrea, Mazzacane, Federico, Desser, Dmitriy, Schlunk, Frieder, Güttler, Christopher, Kniep, Helge, Penzkofer, Tobias, Fiehler, Jens, Hanning, Uta, Dell’Orco, Andrea, Nawabi, Jawed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299035/
https://www.ncbi.nlm.nih.gov/pubmed/37373699
http://dx.doi.org/10.3390/jcm12124005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299035/
https://www.ncbi.nlm.nih.gov/pubmed/37373699
http://dx.doi.org/10.3390/jcm12124005

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