Articles producció científica> Enginyeria Informàtica i Matemàtiques

Automatic nipple detection in breast thermograms

  • Identification data

    Identifier: PC:1822
    Authors:
    Mohamed Abdel-NasserAdel SalehAntonio MorenoDomenec Puig
    Abstract:
    Filiació URV: SI
  • Others:

    Author, as appears in the article.: Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: ABDELNASSER MOHAMED MAHMOUD, MOHAMED; Adel Saleh; MORENO RIBAS, ANTONIO; PUIG VALLS, DOMÈNEC SAVI
    Keywords: Thermograms Nipple detection Breast Cancer
    Abstract: 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.
    Research group: ITAKA: Tecnologies Intel.ligents Avançades per a la Gestió del Coneixement Robòtica i Visió Intel.ligents
    Thematic Areas: Computer engineering Ingeniería informática Enginyeria informàtica
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0957-4174
    Author identifier: 0000-0002-1074-2441; n/a; n/a; n/a
    Record's date: 2016-09-14
    Last page: 374
    Journal volume: 64
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S095741741630416X?via%3Dihub
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1016/j.eswa.2016.08.026
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2016
    First page: 365
    Publication Type: Article Artículo Article
  • Keywords:

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