Author:
Brochet Thibaud,Lapuyade-Lahorgue Jérôme,Huat Alexandre,Thureau Sébastien,Pasquier David,Gardin Isabelle,Modzelewski Romain,Gibon David,Thariat Juliette,Grégoire Vincent,Vera Pierre,Ruan Su
Publisher
Springer Nature Singapore
Reference20 articles.
1. Q. Wang, Y. Ma, K. Zhao, and et al., “A Comprehensive Survey of Loss Functions in Machine Learning,” Annals of Data Science, 2020.
2. A. Amyar, S. Ruan, I. Gardin, and et al., “3D RPET-NET: Development of a 3D PET Imaging Convolutional Neural Network for Radiomics Analysis and Outcome Prediction,” IEEE Trans. on Radiations and Plasma Medical Sciences, vol. 3, no. 2, pp. 225–231, 2019.
3. Jian Wu, Chunfeng Lian, Su Ruan, Thomas R. Mazur, Sasa Mutic, Mark A. Anastasio, Perry W. Grigsby, Pierre Vera, and Hua Li, “Treatment outcome prediction for cancer patients based on radiomics and belief function theory,” IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 3, no. 2, pp. 216–224, 2019.
4. J. M. Amigó, S. G. Balogh, and S. Hernández, “A Brief Review of Generalized Entropies,” Entropy, vol. 20, 2018.
5. Y. Ma, Q. Liu, and Qian Z.-b., “Automated Image Segmentation Using Improved PCNN Model Based on Cross-entropy,” Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004.