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This seems suspect; he says "the model can still recognise the racial identity of the patient well past the point that the image is just a grey box". Maybe some
by mwcampbell 5y ago
This seems suspect; he says "the model can still recognise the racial identity of the patient well past the point that the image is just a grey box". Maybe someone here who actually understands deep learning can shed some light on what's happening here.
- gus_massa 5y agoIt's difficult to be sure. The original study was posted a few days ago, and my impression is that it was over hyped, more overhyped than the usual level. The article claims: > The paper is extensive, with dozens of experiments replicated at multiple sites around the world. but it has not been reproduced by independent groups and IIUC it's just a preprint that has not been officially accepted by a serious peer review journal. About grey box, they are using a high pass filter, and put the zero in grey, something like #808080. With a high pass filter you should be able to see all the borders of the parts of the body, but sometimes the constant is low. So for a person it looks like grey, but a computer can adjust the contrast and see it. For example, you can go to https://david.li/filtering/ https://david.li/filtering/ and click the "Edge detection" filter. Now imagine reducing the contrast of it, and using grey instead of black for 0.