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...

Full description

Bibliographic Details

Published in:	INGENIUS no. 34; pp. 116 - 125
Main Authors:	Rayavarapu, Swarajya Madhuri, Rao, Gottapu Sasibhushana
Format:	Journal Article
Language:	English
Published:	Cuenca Universidad Politécnica Salesiana del Ecuador 01.07.2025 Universidad Politécnica Salesiana
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!