Efficient quantitative assessment of facial paralysis using iris segmentation and active contour-based key points detection with hybrid classifier-Reference-Cited by-同舟云学术

Efficient quantitative assessment of facial paralysis using iris segmentation and active contour-based key points detection with hybrid classifier

Published:2016-03-12 Issue:1 Volume:16 Page:
ISSN:1471-2342
Container-title:BMC Medical Imaging
language:en
Short-container-title:BMC Med Imaging

Author:

Barbosa Jocelyn,Lee Kyubum,Lee Sunwon,Lodhi Bilal,Cho Jae-Gu,Seo Woo-Keun,Kang Jaewoo

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

http://link.springer.com/content/pdf/10.1186/s12880-016-0117-0.pdf

Reference31 articles.

1. Kanerva M. Peripheral facial palsy grading, etiology, and melkersson–rosenthal syndrome. PhD thesis, University of Helsinki, Finland, Department of Otorhinolaryngology. 2008.

2. May M. Anatomy for the clinician In: May M, Schaitkin B, editors. In The Facial Nerve, May’s Second Edition. 2nd edn., New York: Thieme, New York: 2000. p. 19–56.

3. Peitersen E. Bell’s palsy: the spontaneous course of 2,500 peripheral facialnerve palsies of different etiologies. Acta Otolaryngol. 2002; 122(7):4–30.

4. Murty G, Diver JP, Kelly PJ. The nottingham system: objective assessment of facial nerve function in the clinic. Otolaryngol Head Neck Surg. 1994; 110:156–61.

5. Fields M. Facial nerve function index: a clinical measurement of facial nerve activity in patients with facial nerve palsies. Oral Med Oral Pathol Oral Surg. 1990; 69:681–682.

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ALGRNet: Multi-Relational Adaptive Facial Action Unit Modelling for Face Representation and Relevant Recognitions;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023-10

2. Automatic Facial Palsy, Age and Gender Detection Using a Raspberry Pi;BioMedInformatics;2023-06-13

3. autoFPR: An Efficient Automatic Approach for Facial Paralysis Recognition Using Facial Features;International Journal on Artificial Intelligence Tools;2023-03

4. Comparative Study of Deep Learning Algorithms for the Detection of Facial Paralysis;2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON);2022-10-12

5. Numerical Approach to Facial Palsy Using a Novel Registration Method with 3D Facial Landmark;Sensors;2022-09-02