Computer-based recognition of dysmorphic faces
In: European journal of human genetics, Jg. 11 (2003), Heft 8, S. 555-560
Online
academicJournal
- print, 18 ref
Zugriff:
Genetic syndromes often involve craniofacial malformations. We have investigated whether a computer can recognize disease-specific facial patterns in unrelated individuals. For this, 55 photographs (256 x 256 pixel) of patients with mucopolysaccharidosis type III (n = 6), Cornelia de Lange (n=12), fragile X (n = 12), Prader-Willi (n=12), and Williams-Beuren (n=13) syndromes were preprocessed by a Gabor wavelet transformation. By comparing the feature vectors at 32 facial nodes, 42/55 (76%) of the patients were correctly classified. In another four patients (7%), the correct and an incorrect diagnosis scored equally well. Clinical geneticists who were shown the same photographs achieved a recognition rate of 62%. Our results prove that certain syndromes are associated with a specific facial pattern and that this pattern can be described in mathematical terms.
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Computer-based recognition of dysmorphic faces
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Autor/in / Beteiligte Person: | LOOS, Hartmut S ; WIECZOREK, Dagmar ; WÜRTZ, Rolf P ; VON DER MALSBURG, Christoph ; HORSTHEMKE, Bernhard |
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Zeitschrift: | European journal of human genetics, Jg. 11 (2003), Heft 8, S. 555-560 |
Veröffentlichung: | Avenel, NJ: Nature Publishing, 2003 |
Medientyp: | academicJournal |
Umfang: | print, 18 ref |
ISSN: | 1018-4813 (print) |
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