HIGHLIGHTS
- who: Weihao Weng from the Graduate School The University have published the article: Expert-level aspiration and penetration detection during flexible endoscopic evaluation of swallowing with artificial intelligence-assisted diagnosis, in the Journal: Scientific Reports Scientific Reports
- what: In this paper, we proposed FEES-CAD, a deep learning-based CAD, to analyze the FEES video for the detection of penetration, aspiration, residue in the vallecula, and residue in the hypopharynx.
SUMMARY
The proposed AI-assisted CAD named FEES-CAD addresses the need for aspiration and penetration detection on FEES by monitoring . . .
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.