Enhanced Visualization: Transforming Non-Contrast into Contrast-Enhanced Computed Tomography Images Through Advanced Generative Adversarial Networks

<b>Background/Objectives:</b> Contrast-enhanced CT (CECT) is essential for mediastinal and lymph node assessment but is often limited in patients with renal dysfunction, prior severe contrast reactions, or pediatric populations. Deep learning approaches, such as generative adversarial networks (GANs...

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מידע ביבליוגרפי

Principais autores:	Hyun Soo Kim, Bo Mi Gil, Taehwan Kim, Yeo Dong Yoon, Dae Hee Han
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-03-01
סדרה:	Diagnostics
נושאים:	generative adversarial network (GAN) lymphoma non-contrast computed tomography (NCCT) synthetic contrast enhanced computed tomography (sCECT)
גישה מקוונת:	https://www.mdpi.com/2075-4418/16/6/861
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