Autor segons l'article: Abdel-Nasser, Mohamed; Moreno, Antonio; Puig, Domenec
Departament: Enginyeria Informàtica i Matemàtiques
e-ISSN: 0883-4989
Autor/s de la URV: Abdelnasser Mohamed Mahmoud, Mohamed / Moreno Ribas, Antonio / Puig Valls, Domènec Savi
Paraules clau: Thermography Thermal infrared images Texture analysis Statistics Representation learning Mammography Machine learning Features Database Computer-aided diagnosis systems Classification Breast cancer
Resum: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. Nowadays, breast cancer is one of the most common cancers diagnosed in women. Mammography is the standard screening imaging technique for the early detection of breast cancer. However, thermal infrared images (thermographies) can be used to reveal lesions in dense breasts. In these images, the temperature of the regions that contain tumors is warmer than the normal tissue. To detect that difference in temperature between normal and cancerous regions, a dynamic thermography procedure uses thermal infrared cameras to generate infrared images at fixed time steps, obtaining a sequence of infrared images. In this paper, we propose a novel method to model the changes on temperatures in normal and abnormal breasts using a representation learning technique called learning-to-rank and texture analysis methods. The proposed method generates a compact representation for the infrared images of each sequence, which is then exploited to differentiate between normal and cancerous cases. Our method produced competitive (AUC = 0.989) results when compared to other studies in the literature.
Àrees temàtiques: Signal processing Physics, applied Hardware and architecture Engineering, electrical & electronic Engenharias iv Electrical and electronic engineering Control and systems engineering Computer science, information systems Computer networks and communications
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 08834989
Adreça de correu electrònic de l'autor: mohamed.abdelnasser@urv.cat antonio.moreno@urv.cat domenec.puig@urv.cat
Identificador de l'autor: 0000-0002-1074-2441 0000-0003-3945-2314 0000-0002-0562-4205
Data d'alta del registre: 2024-10-12
Volum de revista: 8
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.mdpi.com/2079-9292/8/1/100
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Electronics. 8 (1): 100-
Referència de l'ítem segons les normes APA: Abdel-Nasser, Mohamed; Moreno, Antonio; Puig, Domenec (2019). Breast cancer detection in thermal infrared images using representation learning and texture analysis methods. Electronics, 8(1), 100-. DOI: 10.3390/electronics8010100
DOI de l'article: 10.3390/electronics8010100
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2019
Tipus de publicació: Journal Publications