Down syndrome detection based on facial features using a geometric descriptor

Autor(es)

Ramirez Cornejo, Jadisha Yarif ^[1] ; Pedrini, Helio ^[1] ; Machado-Lima, Ariane ^[2] ; dos Santos Nunes, Fatima de Lourdes ^[2]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil

^[2] Univ Sao Paulo, Sch Arts Sci & Humanities, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF MEDICAL IMAGING; v. 4, n. 4 OCT 2017.
• Citações Web of Science: 1

Resumo

Down syndrome is one of the most common genetic disorders caused by chromosome abnormalities in humans. Among other physical characteristics, certain facial features are typically associated in people with Down syndrome. We investigate the problem of Down syndrome detection from a collection of face images. As the main contribution, a compact geometric descriptor is used to extract facial features from the images. Experiments are conducted on an available dataset to demonstrate the performance of the proposed methodology. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) (AU)

• Processo FAPESP: 14/12236-1 - AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo?
• Beneficiário: Alexandre Xavier Falcão
• Modalidade de apoio: Auxílio à Pesquisa - Temático