Rethinking glottal midline detection
A. M. Kist, J. Zilker, P. Gomez, A. Schützenberger, M. Döllinger
This study evaluates methods for automatic glottal midline detection using simulations and endoscopic images, finding deep neural networks outperform classical computer vision methods.
bioRxiv · Aug 20, 2020Bioengineering