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Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival
BACKGROUND: Measurement of volumetric features is challenging in glioblastoma. We investigate whether volumetric features derived from preoperative MRI using a convolutional neural network–assisted segmentation is correlated with survival. METHODS: Preoperative MRI of 120 patients were scored using...
| Autores principales: | , , |
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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/PMC7593295/ https://www.ncbi.nlm.nih.gov/pubmed/32662042 http://dx.doi.org/10.1007/s00701-020-04483-7 |