Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment

In healthcare applications, often it is not possible to record sufficient data as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints. On the other hand, data imbalance...

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Autori principali:	Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-01-01
Serie:	Big Data and Cognitive Computing
Soggetti:	data augmentation DNN randomizing Siamese GAN singular spectrum analysis SSA
Accesso online:	https://www.mdpi.com/2504-2289/9/2/22
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