"With some contrast ratios it is [...] difficult to interpret a small dot or spot correctly [...]. Through [...] data [...] the system learns, like a human who has seen many thousands of images [...]."
Zeitschrift der DACH-Gesellschaften DGZfP, ÖGfZP und SGZP02/2020
"Studies [...] from the medical industry have shown [...] that deep learning methods evaluate images faster and +20% more accurately [...]. This gives the examiner more time for critical cases or other tasks [...]."
"The idea behind the test assistant is an automatic pre-sorting and pre-labeling of critical images [...]. The acquisition and evaluation of images can [...] take place [...] physically separated, somewhere else."
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