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Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning
BACKGROUND: A deep learning (DL) model based on representative biopsy tissues can predict the recurrence and overall survival of patients with glioma, leading to optimized personalized medicine. This research aimed to develop a DL model based on hematoxylin-eosin (HE) stained pathological images and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102594/ https://www.ncbi.nlm.nih.gov/pubmed/37064206 http://dx.doi.org/10.3389/fneur.2023.1100933 |