Generative adversarial networks improve the reproducibility and discriminative power of radiomic features
Published inRadiology. Artificial Intelligence, vol. 2, no. 3, e190035
Publication date2020
Abstract
Research group
Citation (ISO format)
MARCADENT, Sandra et al. Generative adversarial networks improve the reproducibility and discriminative power of radiomic features. In: Radiology. Artificial Intelligence, 2020, vol. 2, n° 3, p. e190035. doi: 10.1148/ryai.2020190035
Main files (1)
Article (Published version)
Identifiers
- PID : unige:156903
- DOI : 10.1148/ryai.2020190035
- PMID : 33937823
Commercial URLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082326/
ISSN of the journal2638-6100
