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> Though compressed sensing can improve the image quality relative to a vanilla inverse Fourier transform, it still suffers from artifacts. Odd remark. FDA app

> Though compressed sensing can improve the image quality relative to a vanilla inverse Fourier transform, it still suffers from artifacts. Odd remark. FDA approves compressed sensing products (e.g., [1], [2], [3], [4]) precisely because it is possible (and provably so) to quantify and/or characterize such “artifacts” up to substantial equivalence. [1] https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K162722 https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn... [2] https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K163312 https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn... [3] https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K173079 https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn... [4] https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K173617 https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn...

bick_nyers 5y ago
This is actually quite interesting and currently relevant to me, thanks for sharing
- vitorsr 5y ago
  The following query might also interest you then: "510(k)" "deep learning" site:accessdata.fda.gov/cdrh_docs Or alternatively replace "deep learning" by either another distinctive theory/methodology employed or trade/device name. I do remind you to cross-check what material product is being reviewed.