8 ms·
Anyone knows why "fastMRI" [0] would not suffer from problems like this, especially if there is something on the images that has not been on any images it was t
by _Microft 5y ago
Anyone knows why "fastMRI" [0] would not suffer from problems like this, especially if there is something on the images that has not been on any images it was trained on (e.g. foreign matter)? Enhancing faces going wrong is one thing, getting medical images wrong a whole another.
[0] "fastMRI is a collaborative research project between Facebook AI Research (FAIR) and NYU Langone Health. The aim is to investigate the use of AI to make MRI scans up to 10 times faster. By producing accurate images from under-sampled data, AI image reconstruction has the potential to improve the patient’s experience and to make MRIs accessible for more people.", see https://fastmri.org https://fastmri.org
- brundolf 5y agoI would argue that getting faces wrong is just as bad when they're being used for things like law enforcement
- Eridrus 5y agoThere is almost always some way to do more work and get more accuracy (e.g. getting MRIs from 2 different places, having 2 groups analyze them, etc), but we don't generally do all these things because there are costs involved. Conversely reducing costs is often valuable, even if accuracy degrades a bit, depending on how steep the trade off is