DocumentCode :
2379630
Title :
Using facial images for the diagnosis of genetic syndromes: A survey
Author :
El Rai, Marwa Chendeb ; Werghi, Naoufel ; Al Muhairi, Hassan ; Alsafar, Habiba
Author_Institution :
Electr. & Comput. Eng. Dept., Khalifa Univ. of Sci., Sharjah, United Arab Emirates
fYear :
2015
fDate :
17-19 Feb. 2015
Firstpage :
1
Lastpage :
6
Abstract :
The analysis of facial appearance is significant to an early diagnosis of medical genetic diseases. The fast development of image processing and machine learning techniques facilitates the detection of facial dysmorphic features. This paper is a survey of the recent studies developed for the screening of genetic abnormalities across the facial features obtained from two dimensional and three dimensional images.
Keywords :
diseases; face recognition; learning (artificial intelligence); medical image processing; patient diagnosis; facial appearance analysis; facial dysmorphic features; facial features; facial images; genetic abnormalities; genetic syndromes diagnosis; image processing; machine learning techniques; medical genetic diseases; three dimensional images; two dimensional images; Accuracy; Databases; Face; Feature extraction; Genetics; Principal component analysis; Three-dimensional displays; 2D imaging; 3D imaging; Classification; Dysmorphology; Facial images; Landmarks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Signal Processing, and their Applications (ICCSPA), 2015 International Conference on
Conference_Location :
Sharjah
Type :
conf
DOI :
10.1109/ICCSPA.2015.7081271
Filename :
7081271
Link To Document :
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