Generative adversarial networks improve the reproducibility and discriminative power of radiomic features
Published inRadiology. Artificial Intelligence, vol. 2, no. 3, e190035
Publication date2020
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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
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- PID : unige:156903
- DOI : 10.1148/ryai.2020190035
- PMID : 33937823
Additional URL for this publicationhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082326/
Journal ISSN2638-6100
