CT and MRI Image Fusion via Coupled Feature-Learning GAN

The fusion of multimodal medical images, particularly CT and MRI, is driven by the need to enhance the diagnostic process by providing clinicians with a single, comprehensive image that encapsulates all necessary details. Existing fusion methods often exhibit a bias towards features from one of the...

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Veröffentlicht in:	Electronics (Basel) 2024-09, Vol.13 (17), p.3491
Hauptverfasser:	Mao, Qingyu, Zhai, Wenzhe, Lei, Xiang, Wang, Zenghui, Liang, Yongsheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computed tomography Computer vision Design Discriminators Feature extraction Generative adversarial networks Image enhancement Learning Magnetic resonance imaging Medical imaging Neural networks Wavelet transforms
Online-Zugang:	Volltext
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