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
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2016
Página inicial: 365
Tipo de publicación: Article Artículo Article
Repositori URV