Medicine and HealthScientific Reports
Rethinking glottal midline detection
A. M. Kist, J. Zilker, et al.
This study by Andreas M. Kist and colleagues offers a breakthrough in fully automatic glottal midline detection, enhancing vocal fold oscillation symmetry assessments. The researchers leverage deep learning to advance laryngeal endoscopy and have developed GlottisNet, a novel architecture that boosts clinical applicability with its simultaneous predictions.
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