The problem we address in this paper is an automatic detection of kidneys with cysts in abdominal 2D computed tomography images. Identifying abdominal organs is a key step in medical image retrieval application. However, due to gray levels similarities of adjacent organs, contrast media effect, and relatively high variation of organ's positions and shapes, automatically identifying abdominal organs has always been a high challenging task. In this paper, we present an original method, in a statistical framework, for fully automatic kidneys detection. The method is tested on over 400 clinically acquired images and very promising results were obtained.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A statistical approach for automatic kidneys detection


    Beteiligte:
    Touhami, W. (Autor:in) / Boukerroui, D. (Autor:in) / Cocquerez, J.-P. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    1087174 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Statistical Approach for Automatic Kidneys Detection

    Touhami, W. / Boukerroui, D. / Cocquerez, J.-P. | British Library Conference Proceedings | 2005


    Automatic Vehicle Detection Using Statistical Approach

    Wang, Chi-Chen Raxle / Lien, Jenn-Jier James | Springer Verlag | 2006


    Automatic Vehicle Detection Using Statistical Approach

    Wang, C.-C. R. / Lien, J.-J. J. | British Library Conference Proceedings | 2006


    Automatic Vehicle Detection Using Local Features—A Statistical Approach

    Chi-Chen Raxle Wang, / Lien, J.-J.J. | IEEE | 2008


    Automatic vehicle detection using local features - a statistical approach

    Wang, Chi-Chen-Raxle / Lien, J.J.J. | Tema Archiv | 2008