Stable Diffusion based image compression
Nice work!<p>However, a cautionary tale on AI medical image "denoising":<p>(and beyond, in science)<p>- See the artifacts?<p>The algorithm plugs into ambiguous areas of the image stuff it has seen before / it was trained with.
So, if such a system was to "denoise" (or compress, which - if you think about it - is basically the same operation) CT scans, X-rays, MRIs, etc., in ambiguous areas it could plug-in diseased tissue where the ground-truth was actually healthy.<p>Or the opposite, which is even worse: substitute diseased areas of the scan with healthy looking imagery it had been trained on.<p>Reading recent publications that try to do "denoising" or resolution "enhancement" in medical imaging contexts, the authors seem to be completely oblivious to this pitfall.<p>(maybe they had a background as World Bank / IMF economists?)