Long-term performance assessment of fully automatic biomedical glottis segmentation at the point of care

HIGHLIGHTS

  • who: Renu00e9 Groh and colleagues from the of Otorhinolaryngology, and, University Hospital Erlangen, Friedrich-AlexanderUniversitau0308t Erlangen-Nuu0308rnberg, Erlangen, Bavaria, Germany have published the research work: Long-term performance assessment of fully automatic biomedical glottis segmentation at the point of care, in the Journal: PLOS ONE of March/29,/2022
  • what: The authors report the performance of the AI-powered OpenHSV system together with the DNN in a two-year clinical environment. Taken together, the authors strongly believe that the study provides trust and shows the reliability of the OpenHSV system, positively impacting future clinical adaptation . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?