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Medical imaging analysis with artificial neural networks

Jiang, J. and Trundle, P. and Ren, Jinchang (2010) Medical imaging analysis with artificial neural networks. Computerized Medical Imaging and Graphics, 34 (8). pp. 617-631.

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    Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection towards visual content analysis, and medical image registration for its pre-processing and post-processing, with the aims of increasing awareness of how neural networks can be applied to these areas and to provide a foundation for further research and practical development. Representative techniques and algorithms are explained in detail to provide inspiring examples illustrating: (i) how a known neural network with fixed structure and training procedure could be applied to resolve a medical imaging problem; (ii) how medical images could be analysed, processed, and characterised by neural networks; and (iii) how neural networks could be expanded further to resolve problems relevant to medical imaging. In the concluding section, a highlight of comparisons among many neural network applications is included to provide a global view on computational intelligence with neural networks in medical imaging.

    Item type: Article
    ID code: 29267
    Keywords: medical imaging analysis, neural networks, intelligent computing, Electronic computers. Computer science, Public aspects of medicine, Health Informatics, Radiology Nuclear Medicine and imaging, Radiological and Ultrasound Technology, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
    Subjects: Science > Mathematics > Electronic computers. Computer science
    Medicine > Public aspects of medicine
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 16 Mar 2011 13:48
    Last modified: 06 Jul 2014 01:35

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