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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Hyun Soo Kim, Bo Mi Gil, Taehwan Kim, Yeo Dong Yoon, Dae Hee Han
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-03-01
Saila:	Diagnostics
Gaiak:	generative adversarial network (GAN) lymphoma non-contrast computed tomography (NCCT) synthetic contrast enhanced computed tomography (sCECT)
Sarrera elektronikoa:	https://www.mdpi.com/2075-4418/16/6/861
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!