Transformer-Based End-to-End Anatomical and Functional Image Fusion

Medical image fusion aims to derive complementary information from medical images with different modalities and is becoming increasingly important in clinical applications. The design of fusion strategy plays a key role in achieving high-quality fusion results. Existing methods usually employ handcr...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2022, Vol.71, p.1-11
Hauptverfasser:	Zhang, Jing, Liu, Aiping, Wang, Dan, Liu, Yu, Wang, Z. Jane, Chen, Xun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer vision End-to-end network Feature extraction Fuses Image fusion Image processing Image resolution Medical diagnostic imaging medical image fusion Medical imaging Neural networks Task analysis transformer Transformers Transfusion unsupervised learning
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