Artificial Intelligence area has penetrated the medical field with the purpose of supporting the automatic recognition of brain imaging. One of the diseases that has been increasing in the last decade are Brain Stroke, whose set of diseases, affect the cerebral blood vessels. Given that effects that can cause this type of disease, it is important to characterize the sources that generate medical images and the methods used to improve and interpret them. This paper describes the advances reported in the literature in relation to the sources that obtain the images and the stages followed for their recognition from 2001 to 2016 period. Moreover considers that there is an opportunity to improve and development of advanced algorithms, which will offer a higher level in the detection of diseases in brain images.


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    Titel :

    State of the Art and Elements of the Brain Automatic Image Recognition




    Erscheinungsdatum :

    2017-11-01


    Format / Umfang :

    326631 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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