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arXiv · 2508.00172

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

Fupei Guo·Hao Zheng·Xiang Zhang·Li Chen·Yue Wang·Songyang Zhang
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Abstract

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.

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Fupei Guo, Hao Zheng, Xiang Zhang, Li Chen, Yue Wang, Songyang Zhang. 2025-07-31. DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission. https://arxiv.org/abs/2508.00172

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