000070920 001__ 70920
000070920 005__ 20180614145120.0
000070920 0247_ $$2doi$$a10.1063/1.4940274
000070920 0248_ $$2sideral$$a106286
000070920 037__ $$aART-2016-106286
000070920 041__ $$aeng
000070920 100__ $$0(orcid)0000-0002-9408-1280$$aPalacios-Navarro, G.$$uUniversidad de Zaragoza
000070920 245__ $$aMedical Image Segmentation to Estimate HER2 Gene Status in Breast Cancer
000070920 260__ $$c2016
000070920 5060_ $$aAccess copy available to the general public$$fUnrestricted
000070920 5203_ $$aThis work deals with the estimation of HER2 Gene status in breast tumour images treated with in situ hybridization techniques (ISH). We propose a simple algorithm to obtain the amplification factor of HER2 gene. The obtained results are very close to those obtained by specialists in a manual way. The developed algorithm is based on colour image segmentation and has been included in a software application tool for breast tumour analysis. The developed tool focus on the estimation of the seriousness of tumours, facilitating the work of pathologists and contributing to a better diagnosis.
000070920 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000070920 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000070920 700__ $$aAciron-Pomar, J.M.
000070920 700__ $$aVilchez-Sorribas, E.
000070920 700__ $$aZambrano, E.G.
000070920 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDepartamento de Ingeniería Electrónica y Comunicaciones$$cTecnología Electrónica
000070920 773__ $$g1705 (2016), 020026$$pAIP conf. proc.$$tAIP Conference Proceedings$$x0094-243X
000070920 8564_ $$s730738$$uhttp://zaguan.unizar.es/record/70920/files/texto_completo.pdf$$yVersión publicada
000070920 8564_ $$s57598$$uhttp://zaguan.unizar.es/record/70920/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000070920 909CO $$ooai:zaguan.unizar.es:70920$$particulos$$pdriver
000070920 951__ $$a2018-06-14-12:49:01
000070920 980__ $$aARTICLE