标题： DiSC-Med：基于扩散的语义通信用于鲁棒的医学图像传输 显示英文标题

标题： DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission

摘要： 人工智能的快速发展推动了智能健康领域的发展，结合下一代无线通信技术，激发了远程诊断和干预方面的令人兴奋的应用。 为了实现在远程医疗中的及时有效响应，通过有限带宽的噪声信道高效传输医疗数据成为一项关键挑战。 在本工作中，我们提出了一种新颖的基于扩散的语义通信框架，即DiSC-Med，用于医疗图像传输，其中开发了医学增强的压缩和去噪模块，分别用于带宽效率和鲁棒性。 与传统的逐像素通信框架不同，我们提出的DiSC-Med能够捕捉关键语义信息，并在噪声信道下实现超高的带宽效率和优越的重建性能。 在真实世界医疗数据集上的大量实验验证了我们框架的有效性，展示了其在鲁棒且高效的远程医疗应用中的潜力。 显示英文摘要

摘要： The rapid development of artificial intelligence has driven smart health with next-generation wireless communication technologies, stimulating exciting applications in remote diagnosis and intervention. To enable a timely and effective response for remote healthcare, efficient transmission of medical data through noisy channels with limited bandwidth emerges as a critical challenge. In this work, we propose a novel diffusion-based semantic communication framework, namely DiSC-Med, for the medical image transmission, where medical-enhanced compression and denoising blocks are developed for bandwidth efficiency and robustness, respectively. Unlike conventional pixel-wise communication framework, our proposed DiSC-Med is able to capture the key semantic information and achieve superior reconstruction performance with ultra-high bandwidth efficiency against noisy channels. Extensive experiments on real-world medical datasets validate the effectiveness of our framework, demonstrating its potential for robust and efficient telehealth applications.