Ponencia
Automatic Landmarks Detection in Breast Reconstruction Aesthetic Assessment
Autor/es | Núñez Benjumea, Francisco José
Serrano Gotarredona, María del Carmen Acha Piñero, Begoña |
Departamento | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones |
Fecha de publicación | 2015 |
Fecha de depósito | 2022-01-12 |
Publicado en |
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Resumen | 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 ... 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. |
Identificador del proyecto | PI-0223-2012 |
Cita | Núñez Benjumea, F.J., Serrano Gotarredona, M.d.C. y Acha Piñero, B. (2015). Automatic Landmarks Detection in Breast Reconstruction Aesthetic Assessment. En Medical Informatics in Europe Conference (399-403), Madrid, España: IOS Press. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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SHTI210-0399.pdf | 623.7Kb | [PDF] | Ver/ | |