The Visible Human data set provides researchers with digital cross-sections of the human body. Many institutions use the Visible Human for research and teaching purposes. In this paper, we would like to share our experience in analyse the Chinese Visible Human (CVH) Brain images. We introduce some methods, such as skull stripping, de-noise, etc, to segment the Brain images and get better results. These results can be used to develop virtual medical applications in virtual anatomy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Chinese Visible Human Brain Image Segmentation


    Beteiligte:
    Chen, Yunjie (Autor:in) / Zhang, Jianwei (Autor:in) / Pheng, Ann Heng (Autor:in) / Xia, Deshen (Autor:in)


    Erscheinungsdatum :

    2008-05-01


    Format / Umfang :

    548470 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Intensity standardization simplifies brain MR image segmentation

    Zhuge, Y. / Udupa, J. K. | British Library Online Contents | 2009


    Automatic segmentation and classification of human brain image based on a fuzzy brain atlas [3545-148]

    Tan, O. / Jia, C. / Duan, H. et al. | British Library Conference Proceedings | 1998


    Parallelized segmentation of a serially sectioned whole human brain

    Schmitt, O. / Bethke, S. / Sobe, P. et al. | British Library Online Contents | 2008


    A Review on Image Segmentation for Brain Tumor Detection

    Kulkarni, Sunita M. / Sundari, G. | IEEE | 2018


    Brain tissue MR-image segmentation via optimum-path forest clustering

    Cappabianco, F. A. / Falcao, A. X. / Yasuda, C. L. et al. | British Library Online Contents | 2012