Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis.
- DOI
- 10.3389/fonc.2021.638262
- Published
- 2021
- Container
- Frontiers in oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2021.638262,
title = {Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis.},
author = {de Causans A and Carré A and Roux A and Tauziède-Espariat A and Ammari S and Dezamis E and Dhermain F and Reuzé S and Deutsch E and Oppenheim C and Varlet P and Pallud J and Edjlali M and Robert C},
year = {2021},
journal = {Frontiers in oncology},
doi = {10.3389/fonc.2021.638262},
url = {https://doi.org/10.3389/fonc.2021.638262}
}RIS
TY - JOUR TI - Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis. AU - de Causans A AU - Carré A AU - Roux A AU - Tauziède-Espariat A AU - Ammari S AU - Dezamis E AU - Dhermain F AU - Reuzé S AU - Deutsch E AU - Oppenheim C AU - Varlet P AU - Pallud J AU - Edjlali M AU - Robert C PY - 2021 JO - Frontiers in oncology DO - 10.3389/fonc.2021.638262 UR - https://doi.org/10.3389/fonc.2021.638262 ER -
APA
A, D. C., A, C., A, R., A, T., S, A., E, D., F, D., S, R., E, D., C, O., P, V., J, P., M, E., & C, R. (2021). Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis.. Frontiers in oncology. https://doi.org/10.3389/fonc.2021.638262
Source records
- pubmed · retrieved 2026-11-10T12:57:17.844Z