Automatic evaluation of the degree of facial nerve paralysis

  title={Automatic evaluation of the degree of facial nerve paralysis},
  author={Ting Wang and Shu Zhang and Junyu Dong and Li'an Liu and Huiye Qiu},
  journal={Multimedia Tools and Applications},
Facial paralysis affects both mental and physical health of patients. Evaluation of facial paralysis in clinical practice is normally based on the static facial asymmetry at the maximal movement state and the dynamic change of facial muscle movement. However, most existing research only considers one of these two aspects when evaluating the degree of facial paralysis. This will result in an incomplete utilization of the diagnosis information leading to a low evaluation accuracy, or even… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 36 references

Facial paralysis grading : are achromatic images sufficient ?

T Wang, L Qi, J Dong, S Zhang, S Wang
Perception • 2014

Facial paralysis grading: are achromatic images sufficient? Perception

T Wang, L Qi, J Dong, S Zhang, S Wang

Facial paralysis diseases level detection using CEM algorithm for clinical applications

K Anguraj, R Kandiban, KS Jayakumar
Eur J Sci Res • 2012
View 1 Excerpt

A preliminary investigation into the use of machine vision techniques for automating facial paralysis rehabilitation therapy

JR Delannoy, TE Ward
Proceeding of IET Irish Signals and Systems Conference, • 2010
View 1 Excerpt

Evaluation of Facial Paralysis Degree Based on Regions

2010 Third International Conference on Knowledge Discovery and Data Mining • 2010
View 1 Excerpt

An Approach for Quantitative Evaluation of the Degree of Facial Paralysis Based on Salient Point Detection

2008 International Symposium on Intelligent Information Technology Application Workshops • 2008
View 2 Excerpts

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