A Deep Learning Framework for Denoising MRI Images using Autoencoders

Magnetic Resonance Imaging (MRI) has become an indispensable tool in the medical field for diagnosing and monitoring various diseases and conditions. However, the quality of MRI images can be degraded by noise, which can lead to inaccurate interpretations and diagnoses. In recent years, machine lear...

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Veröffentlicht in:	International Conference on Bio-engineering for Smart Technologies (Online) S. 1 - 4
Hauptverfasser:	Zein, Mohammad El, Laz, Wissam El, Laza, Malak, Wazzan, Taha, Kaakour, Ibrahim, Adla, Yasmine Abu, Baalbaki, Jad, Diab, Mohammad O., Sabbah, Maher, Zantout, Rached
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 07.06.2023
Schlagworte:	autoencoder Convolutional neural networks Data augmentation Deep learning denoising Magnetic resonance imaging Medical diagnostic imaging Monitoring MRI neural networks noise Noise reduction
ISSN:	2831-4352
Online-Zugang:	Volltext
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