Become A Wiser, More Profitable Investor

✅   FMed-Diffusion Federated Learning on Medical Image Diffusion

science

Medical data is not available for public access due to privacy concerns of the patients and the stakeholders trustworthiness. However, Artificial Intelligence, especially all deeplearning models, is data hungry and fails to produce clinically relevant results without much data. Moreover, augmentation strategies are deployed to overcome the less data hurdle. The promising future in this direction is generative AI augmented data. The chatGPT and DALLE2 have become commercial products leveraging the generative AI in Natural Language Processing and Computer Vision. The diffusion models have started giving many promising results in the generative AI in computer vision. And in medical imaging, they can potentially create synthetic data to augment the scarce dataset.

BioRxiv     Apr 24, 2025