GANeXt: A Fully ConvNeXt-Enhanced Generative Adversarial Network for MRI- and CBCT-to-CT Synthesis
Published:Dec 22, 2025 12:32
•1 min read
•ArXiv
Analysis
This article introduces GANeXt, a novel generative adversarial network (GAN) architecture. The core innovation lies in the integration of ConvNeXt, a convolutional neural network architecture, to improve the synthesis of CT images from MRI and CBCT scans. The research likely focuses on enhancing image quality and potentially reducing radiation exposure by synthesizing CT scans from alternative imaging modalities. The use of ArXiv suggests this is a preliminary research paper, and further peer review and validation would be needed to assess the practical impact.
Key Takeaways
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