Research of the Method for Assessing Facial Phenotypic Features from 2D Images in Medical Genetics

被引：0

作者：

Kumov, V. S. ^{[1
]}

Samorodov, A., V ^{[1
]}

Kanivets, I., V ^{[2
]}

Gorgisheli, K., V ^{[2
]}

Solonichenko, V. G. ^{[3
]}

机构：

[1] Bauman Moscow State Tech Univ, Dept Biomed Engn, Moscow 105005, Russia

[2] Genomed Ltd, Moscow 115093, Russia

[3] Filatov Moscow Pediat Clin Hosp, Moscow 123001, Russia

来源：

PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES (BIODEVICES), VOL 1 | 2021年

关键词：

Hereditary Diseases; Face Image; Facial Landmarks; Phenotypic Features;

D O I：

10.5220/0010974700003123

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper proposes and investigates the phenotypic facial features recognition method based on facial points coordinates on a reconstructed 3D facial image. The accuracy of the determination of phenotypic features was investigated. The method recognizes phenotypic features with an accuracy of 84 % to 100 %. The method has been tested on open and own databases of facial images of patients with hereditary diseases. A criterion for the forming a risk group for Williams syndrome was proposed based on the summation of the absolute values of z-scores of phenotypic features. On own database, the criterion provides an AUC value of 0.922 for the separation of the Williams syndrome and the norm.

引用

页码：299 / 305

页数：7

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