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Learning from Machine Learning: advancing from static to dynamic facial function quantification

2024-04-01

Abstract excerpt

<h4>Objectives</h4> We assess an open-source Python machine learning algorithm’s efficacy in image and video analysis of facial palsy (FP) patients. <h4>Methods</h4> Images and videos of 60 patients with varying FP severities performing standard movements were obtained from MEEI Facial Palsy database. Landmarks generated on images by the open-source algorithm (adapted from OpenCV and Dlib libraries) and Emotrics...

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Literature Corpus work
f518c917-221c-527b-a762-7f111a11959c
DOI
10.1101/2024.03.28.584911
Open publication

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Learning from Machine Learning: advancing from static to dynamic facial function quantificationDOI 10.1101/2024.03.28.584911
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