Recognition of Genetic Disorders Based on Deep Features and Geometric Representation

Autor(es)

Ramirez Cornejo, Jadisha Yarif ; Pedrini, Helio

• Tipo de documento: Artigo Científico
• Fonte: PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2018; v. 11401, p. 8-pg., 2019-01-01.

Resumo

In this work, we analyze facial abnormalities in people diagnosed with different genetic disorders through deep features and anthropometric measurements. Based on the assumption that patients with distinct genetic conditions present significant differences in facial morphology, we conjecture that such facial patterns and geometric distances could help in the detection of certain syndromes. Experiments conducted on an available dataset demonstrate the effectiveness of the proposed recognition methodology. (AU)

• Processo FAPESP: 17/12646-3 - Déjà vu: coerência temporal, espacial e de caracterização de dados heterogêneos para análise e interpretação de integridade
• Beneficiário: Anderson de Rezende Rocha
• Modalidade de apoio: Auxílio à Pesquisa - Temático