Scientific article
OA Policy
English

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

Published inRadiology. Artificial Intelligence, vol. 2, no. 3, e190035
Publication date2020
Abstract

To assess the contribution of a generative adversarial network (GAN) to improve intermanufacturer reproducibility of radiomic features (RFs).

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
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Article (Published version)
accessLevelPublic
Identifiers
Journal ISSN2638-6100
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Creation09/09/2021 15:33:00
First validation09/09/2021 15:33:00
Update16/03/2023 01:59:36
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