A Critical Assessment of Generative Models for Synthetic Data Augmentation on Limited Pneumonia X-ray Data

A Critical Assessment of Generative Models for Synthetic Data Augmentation on Limited Pneumonia X-ray Data

In medical imaging, deep learning models serve as invaluable tools for expediting diagnoses and aiding specialized medical professionals in making clinical decisions. However, effectively training deep learning models typically necessitates substantial quantities of high-quality data, a resource oft...

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Bibliographic Details
Main Authors: Daniel Schaudt, Christian Späte, Reinhold von Schwerin, Manfred Reichert, Marianne von Schwerin, Meinrad Beer, Christopher Kloth
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Bioengineering
Subjects:
deep learning
generative models
medical imaging
pneumonia
synthetic data
Online Access:https://www.mdpi.com/2306-5354/10/12/1421

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https://www.mdpi.com/2306-5354/10/12/1421

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