Publications
Automatic analysis of asymmetry in facial paralysis patients using landmark-based measures
Abstract
Methods
This study was approved by the IRB of Keck School of Medicine (HS-19-00076). Two data sets were utilized:(1) the KECK facial palsy data set (KECK data set) and (2) the MEEI facial palsy photo and video data set (MEEI data set). 4 The facial landmarks from the KECK and MEEI data sets were automatically extracted using the opensource dlib toolkit 5 and the MEEI-specific dlib model, respectively. 3 These landmarks were used to derive the differences of the left–right (LR) parts of the face for eye opening symmetry ratios, brow elevation, mid-facial symmetry, and oral commissure symmetry. The five measurements, illustrated in Figure 1, are referred to as the Landmark-based facial asymmetry (L-FAM) measures (Supplementary Video S1).
Metadata
- publication
- Facial Plastic Surgery & Aesthetic Medicine 24 (6), 491-493, 2022
- year
- 2022
- publication date
- 2022/12/1
- authors
- Digbalay Bose, Krishna Somandepalli, Tymon Tai, Courtney Voelker, Shrikanth Narayanan, Amit Kochhar
- link
- https://www.liebertpub.com/doi/full/10.1089/fpsam.2021.0247
- resource_link
- https://www.academia.edu/download/115152614/Bose-FPSAM2022.pdf
- journal
- Facial Plastic Surgery & Aesthetic Medicine
- volume
- 24
- issue
- 6
- pages
- 491-493
- publisher
- Mary Ann Liebert, Inc., publishers