Wang, H., Argenziano, M. G., Yoon, H., Boyett, D., Save, A., Petridis, P., Savage, W., Jackson, P., Hawkins-Daarud, A., Tran, N., Hu, L., Singleton, K. W., Paulson, L., Dalahmah, O. A., Bruce, J. N., Grinband, J., Swanson, K. R., Canoll, P., & Li, J. (2024). Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. Npj Digital Medicine, 7(1). https://doi.org/10.1038/s41746-024-01277-4
Subjects:
Gliomas
(OpenAlex Topic)
Radiomics in Medical Imaging Analysis
(OpenAlex Topic)
Deep Learning in Medical Image Analysis
(OpenAlex Topic)
Publication Type:
Article
Unique ID:
10.1038/s41746-024-01277-4
PMID:
Journal:
Publication Date:
Data Source:
PubMed