Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy

Data generation strategies are essential for addressing the challenge of limited training data in deep learning-based medical image analysis, particularly for hypertrophic cardiomyopathy (HCM) using magnetic resonance imaging (MRI). Unlike traditional augmentation techniques, deep generative models...

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Vydané v:	INGENIUS číslo 34; s. 116 - 125
Hlavní autori:	Rayavarapu, Swarajya Madhuri, Rao, Gottapu Sasibhushana
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cuenca Universidad Politécnica Salesiana del Ecuador 01.07.2025 Universidad Politécnica Salesiana
Predmet:	Artificial intelligence Cardiomyopathy Data compression Data Generation Datasets Deep learning Diffusion models Generative Adversarial networks Magnetic resonance imaging Neural networks Probability distribution Variational autoencoders
ISSN:	1390-650X, 1390-860X
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