A Deep Learning Model with Radiomics Analysis Integration for Glioblastoma Post-Resection Survival Prediction
Publication
, Preprint
Hu, Z; Yang, Z; Zhang, H; Vaios, E; Lafata, K; Yin, F-F; Wang, C
March 11, 2022
Duke Scholars
Publication Date
March 11, 2022
Citation
APA
Chicago
ICMJE
MLA
NLM
Hu, Z., Yang, Z., Zhang, H., Vaios, E., Lafata, K., Yin, F.-F., & Wang, C. (2022). A Deep Learning Model with Radiomics Analysis Integration for
Glioblastoma Post-Resection Survival Prediction.
Hu, Zongsheng, Zhenyu Yang, Haozhao Zhang, Eugene Vaios, Kyle Lafata, Fang-Fang Yin, and Chunhao Wang. “A Deep Learning Model with Radiomics Analysis Integration for
Glioblastoma Post-Resection Survival Prediction,” March 11, 2022.
Hu Z, Yang Z, Zhang H, Vaios E, Lafata K, Yin F-F, et al. A Deep Learning Model with Radiomics Analysis Integration for
Glioblastoma Post-Resection Survival Prediction. 2022.
Hu, Zongsheng, et al. A Deep Learning Model with Radiomics Analysis Integration for
Glioblastoma Post-Resection Survival Prediction. 11 Mar. 2022.
Hu Z, Yang Z, Zhang H, Vaios E, Lafata K, Yin F-F, Wang C. A Deep Learning Model with Radiomics Analysis Integration for
Glioblastoma Post-Resection Survival Prediction. 2022.
Publication Date
March 11, 2022