Mostrar el registro sencillo del ítem

dc.contributor.authorEsmaeilpour, Mansour
dc.contributor.authorGohariyan, Elham
dc.contributor.authorShirmohammadi, Mohammad Mehdi
dc.date2017-09
dc.date.accessioned2021-09-06T09:14:10Z
dc.date.available2021-09-06T09:14:10Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11783
dc.description.abstractBreast cancer is one of the common cancers among women so that early diagnosing of it can effectively help its treatment in this study, considering combination of Mammography and MRI pictures, we will try to recognize glands in existing pictures which identify all around of gland complete and precisely and separate it completely. In this method using artificial intelligence algorithm such as Affine transformation, Gabor filter, neural network, and support vector machine, image analysis will be carried out. The accuracy of proposed method is 98.14. In this work a special framework is presented which simplifies cancer diagnosis. The algorithm of proposed method is tested on z16 images. High speed and lack of human error are the most important factors in proposed intelligent system.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 4, nº 5
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2590es_ES
dc.rightsopenAccesses_ES
dc.subjectcanceres_ES
dc.subjectmachine learninges_ES
dc.subjectneural networkes_ES
dc.subjectmedicinees_ES
dc.subjectIJIMAIes_ES
dc.titleThe Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVMes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2017.453


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem