Fig. 2
From: Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model
Architecture of the proposed image UVFP diagnostic network. The model processes paired images of the VFs - one taken when the folds are open and the other when they are closed. Each image is passed through identical image classification networks to extract features. These feature values are then fused to produce a comprehensive diagnostic output using the combined information from both images.
