1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Laryngeal Structure Segmentation in High-Speed Videoendoscopy Using Deep Learning
Sardar Nafis Bin Ali, Mohsen Zayernouri, Dimitar D. Deliyski +1
Laryngeal high-speed videoendoscopy (HSV) offers an effective means of observing the motion of different laryngeal structures along with vibratory behaviors of the vocal folds unde…
eess.IV2024★ 1 cited
Experimental Framework for Generating Reliable Ground Truth for Laryngeal Spatial Segmentation Tasks
Hamzeh Ghasemzadeh, David S. Ford, Maria E. Powell +1
Objective: The validity of objective measures derived from high-speed videoendoscopy (HSV) depends, among other factors, on the validity of spatial segmentation. Evaluation of the…