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Title

Generative adversarial networks improve the reproducibility and discriminative power of radiomic features

Authors
Marcadent, Sandra
Published in Radiology. Artificial Intelligence. 2020, vol. 2, no. 3, e190035
Abstract To assess the contribution of a generative adversarial network (GAN) to improve intermanufacturer reproducibility of radiomic features (RFs).
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PMID: 33937823
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Research group Traitement d'images médicales (893)
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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 https://archive-ouverte.unige.ch/unige:156903

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Deposited on : 2021-12-06

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