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Automatic landmarks detection in breast reconstruction aesthetic assessment.
Núñez-Benjumea, Francisco J; Serrano, Carmen; Acha, Begoña.
Afiliação
  • Núñez-Benjumea FJ; Technological Innovation Group, Virgen Macarena - Virgen del Rocío Univ. Hospitals. Sevilla.
  • Serrano C; Signal Theory and Communications Dept. Univ. of Sevilla. Sevilla.
  • Acha B; Signal Theory and Communications Dept. Univ. of Sevilla. Sevilla.
Stud Health Technol Inform ; 210: 399-403, 2015.
Article em En | MEDLINE | ID: mdl-25991174
ABSTRACT
This paper addresses a fully automatic landmarks detection method for breast reconstruction aesthetic assessment. The set of landmarks detected are the supraesternal notch (SSN), armpits, nipples, and inframammary fold (IMF). These landmarks are commonly used in order to perform anthropometric measurements for aesthetic assessment. The methodological approach is based on both illumination and morphological analysis. The proposed method has been tested with 21 images. A good overall performance is observed, although several improvements must be achieved in order to refine the detection of nipples and SSNs.
Assuntos
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Base de dados: MEDLINE Assunto principal: Mama / Interpretação de Imagem Assistida por Computador / Fotografação / Procedimentos de Cirurgia Plástica / Pontos de Referência Anatômicos Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Mama / Interpretação de Imagem Assistida por Computador / Fotografação / Procedimentos de Cirurgia Plástica / Pontos de Referência Anatômicos Idioma: En Ano de publicação: 2015 Tipo de documento: Article