Article Versions Notes

Ferrante M, Rinaldi L, Botta F, Hu X, Dolp A, Minotti M, De Piano F, Funicelli G, Volpe S, Bellerba F, et al. Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models. Journal of Clinical Medicine. 2022; 11(24):7334. https://doi.org/10.3390/jcm11247334

Ferrante, Matteo, Lisa Rinaldi, Francesca Botta, Xiaobin Hu, Andreas Dolp, Marta Minotti, Francesca De Piano, Gianluigi Funicelli, Stefania Volpe, Federica Bellerba, and et al. 2022. "Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models" Journal of Clinical Medicine 11, no. 24: 7334. https://doi.org/10.3390/jcm11247334

Ferrante, M., Rinaldi, L., Botta, F., Hu, X., Dolp, A., Minotti, M., De Piano, F., Funicelli, G., Volpe, S., Bellerba, F., De Marco, P., Raimondi, S., Rizzo, S., Shi, K., Cremonesi, M., Jereczek-Fossa, B. A., Spaggiari, L., De Marinis, F., Orecchia, R., & Origgi, D. (2022). Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models. Journal of Clinical Medicine, 11(24), 7334. https://doi.org/10.3390/jcm11247334