Articles producció científica> Enginyeria Informàtica i Matemàtiques

Automatic nipple detection in breast thermograms

  • Datos identificativos

    Identificador: PC:1822
    Autores:
    Mohamed Abdel-NasserAdel SalehAntonio MorenoDomenec Puig
    Resumen:
    Filiació URV: SI
  • Otros:

    Autor según el artículo: Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: ABDELNASSER MOHAMED MAHMOUD, MOHAMED; Adel Saleh; MORENO RIBAS, ANTONIO; PUIG VALLS, DOMÈNEC SAVI
    Palabras clave: Thermograms Nipple detection Breast Cancer
    Resumen: Breast cancer is one of the most dangerous diseases for women. Detecting breast cancer in its early stage may lead to a reduction in mortality. Although the study of mammographies is the most common method to detect breast cancer, it is outperformed by the analysis of thermographies in dense tissue (breasts of young women). In the last two decades, several computer-aided diagnosis (CAD) systems for the early detection of breast cancer have been proposed. Breast cancer CAD systems consist of many steps, such as segmentation of the region of interest, feature extraction, classification and nipple detection. Indeed, the nipple is an important anatomical landmark in thermograms. The location of the nipple is invaluable in the analysis of medical images because it can be used in several applications, such as image registration and modality fusion. This paper proposes an unsupervised, automatic, accurate, simple and fast method to detect nipples in thermograms. The main stages of the proposed method are: human body segmentation, determination of nipple candidates using adaptive thresholding and detection of the nipples using a novel selection algorithm. Experiments have been carried out on a thermograms dataset to validate the proposed method, achieving accurate nipple detection results in real-time. We also show an application of the proposed method, breast cancer classification in dynamic images, where the new nipple detection technique is used to segment the region of the two breasts from the infrared image. A dataset of dynamic thermograms has been used to validate this application, achieving good results.
    Grupo de investigación: ITAKA: Tecnologies Intel.ligents Avançades per a la Gestió del Coneixement Robòtica i Visió Intel.ligents
    Áreas temáticas: Computer engineering Ingeniería informática Enginyeria informàtica
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0957-4174
    Identificador del autor: 0000-0002-1074-2441; n/a; n/a; n/a
    Fecha de alta del registro: 2016-09-14
    Página final: 374
    Volumen de revista: 64
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S095741741630416X?via%3Dihub
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.1016/j.eswa.2016.08.026
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2016
    Página inicial: 365
    Tipo de publicación: Article Artículo Article
  • Palabras clave:

    Detectors de raigs infraroigs
    Termografia
    Mama -- Càncer
    Thermograms
    Nipple detection
    Breast Cancer
    Computer engineering
    Ingeniería informática
    Enginyeria informàtica
    0957-4174
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