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1.
Journal of Forensic Medicine ; (6): 308-313, 2022.
Article Dans Anglais | WPRIM | ID: wpr-984121

Résumé

Individual identification is one of the research hotspots in the practice of forensic science, and the judgment is usually built on the comparison of the unique biological characteristics of the individual, such as fingerprints, iris and DNA. With the dramatic increase in the number of cases related to video image investigations, there is an increasing need for the technology to identify individuals based on the macroscopic comparison of facial appearance biometrics. At present, with the introduction of computer three-dimensional (3D) modeling and 3D superimposition comparison technology, considerable progress has been made in individual identification methods based on macroscopic comparison of facial appearance biometrics. This paper reviews individual facial appearance biometric methods based on macroscopical comparison, comprehensively analyzes the advantages and limitations of different methods, and puts forward recommendations and prospects for subsequent research.


Sujets)
Humains , Identification biométrique , Biométrie/méthodes , Face/anatomie et histologie , Sciences légales/méthodes
2.
Chinese Journal of Applied Clinical Pediatrics ; (24): 1746-1750, 2021.
Article Dans Chinois | WPRIM | ID: wpr-908049

Résumé

Rubinstein-Taybi syndrome (RSTS) is a rare congenital neurodevelopmental retardation disease involving multiple organ and system abnormalities.The main manifestations include broad thumbs and big toes, specific facial characteristics, developmental and mental retardation.In addition, it is also manifested as ocular abnormalities, hearing loss, repeated respiratory infection and dyspnea, gastrointestinal disorders, urogenital system disorders and severe constipation.It can be classified into 2 types: RSTS1 (OMIM#180849) caused by the CREBBP gene mutation and RSTS2 (OMIM#613684) caused by the EP300 gene mutation, and most of them are found in the de novo truncated variation.Up to now, a clear diagnosis criterion for RSTS is lacked, which is mainly based on the comprehensive analysis of clinical and genetic results.The main treatment of RSTS is symptomatic and individualized treatment, while early intervention is helpful to improve the prognosis and the quality of life.This study aims to introduce the disease comprehensively, thus enhancing the recognition in RSTS.

3.
Acta Anatomica Sinica ; (6): 437-441, 2020.
Article Dans Chinois | WPRIM | ID: wpr-1015556

Résumé

Objective To investigate the 20 facial morphological characteristics of Xibo ethnicity adults in Chabchar in Xinjiang, and to explore the causes of the features, so as to provide basic data for the basic study of minority anthropology. Methods A random sampling method was used to determine 677 Xibo ethnicity adults, and 20 facial morphologyical characteristics was measured and statistically analyzed. Results In terms of age groups, a total of 3 indicators which were opening height of eyeslits(

4.
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery ; (12): 1262-1264, 2020.
Article Dans Chinois | WPRIM | ID: wpr-829617

Résumé

@#Coronary heart disease is the second leading cause of death worldwide. As a preventable and treatable chronic disease, early screening is of great importance for disease control. However, previous screening tools relied on physician assistance, thus cannot be used on a large scale. Many facial features have been reported to be associated with coronary heart disease and may be useful for screening. However, these facial features have limitations such as fewer types, irregular definitions and poor repeatability of manual judgment, so they can not be routinely applied in clinical practice. With the development of artificial intelligence, it is possible to integrate facial features to predict diseases. A recent study published in the European Heart Journal showed that coronary heart disease can be predicted using artificial intelligence based on facial photos. Although this work still has some limitations, this novel technology will be promise for improving disease screening and diagnosis in the future.

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