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Synthesizing lung nodules with diffusion models just got a whole lot more controllable, thanks to a novel LoRA merging strategy that tackles overlapping attention and non-orthogonal parameter spaces.
A hybrid diffusion-GAN approach can significantly enhance the quality of synthetic chest X-rays, potentially unlocking more robust training datasets for AI-driven lung cancer diagnosis.
