Article Versions Notes

Feng L, Qian L, Yang S, Ren Q, Zhang S, Qin H, Wang W, Wang C, Zhang H, Yang J. Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based ¹⁸F-FDG PET/CT Radiomics. Diagnostics. 2022; 12(2):262. https://doi.org/10.3390/diagnostics12020262

Feng, Lijuan, Luodan Qian, Shen Yang, Qinghua Ren, Shuxin Zhang, Hong Qin, Wei Wang, Chao Wang, Hui Zhang, and Jigang Yang. 2022. "Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based ¹⁸F-FDG PET/CT Radiomics" Diagnostics 12, no. 2: 262. https://doi.org/10.3390/diagnostics12020262

Feng, L., Qian, L., Yang, S., Ren, Q., Zhang, S., Qin, H., Wang, W., Wang, C., Zhang, H., & Yang, J. (2022). Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based ¹⁸F-FDG PET/CT Radiomics. Diagnostics, 12(2), 262. https://doi.org/10.3390/diagnostics12020262