By Topic

2011 IEEE Third International Workshop On Computational Intelligence In Medical Imaging

Date 11-15 April 2011

Filter Results

Displaying Results 1 - 10 of 10
  • [Front cover]

    Publication Year: 2011, Page(s): c1
    Request permission for commercial reuse | PDF file iconPDF (156 KB)
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2011, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (84 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2011, Page(s): iii
    Request permission for commercial reuse | PDF file iconPDF (109 KB)
    Freely Available from IEEE
  • IEEE CIMI 2011 Committee

    Publication Year: 2011, Page(s): iv
    Request permission for commercial reuse | PDF file iconPDF (76 KB) | HTML iconHTML
    Freely Available from IEEE
  • Optic disc segmentation by incorporating blood vessel compensation

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1233 KB) | HTML iconHTML

    Glaucoma is one of the main causes of blindness worldwide. Segmentation of vascular system and optic disc is an important step in the development of an automatic retinal screening system. In this paper we present an unsupervised method for the optic disc segmentation. The main obstruction in the optic disc segmentation process is the presence of blood vessels breaking the continuity of the object.... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Brain MRI classification using an ensemble system and LH and HL wavelet sub-bands features

    Publication Year: 2011, Page(s):1 - 7
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (290 KB) | HTML iconHTML

    A new classification system for brain images obtained by magnetic resonance imaging (MRI) is presented. A three-stage approach is used for its design. It consists of second-level discrete wavelet transform decomposition of the image under study, feature extraction from the LH and HL sub-bands using first order statistics, and subsequent classification with the k-nearest neighbor (k-NN), learning v... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A probabilistic network based similiarity measure for cerebral tumors MRI cases retrieval

    Publication Year: 2011, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (323 KB) | HTML iconHTML

    We propose in this paper a bayesian network based similarity measure for the retrieving of magnetic resonance imaging exams containing cerebral tumors. Bayesian networks proved their efficiency and reliability in several Artificial Intelligence problems and especially in computer aided decision applications. To diagnose a cerebral tumor in a MRI exam, we need to interpret diverse sequences and to ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Application of particle swarm optimization and snake model hybrid on medical imaging

    Publication Year: 2011, Page(s):1 - 8
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1818 KB) | HTML iconHTML

    Active contour model has been widely used in image processing applications such as boundary delineation, image segmentation, stereo matching, shape recognition and object tracking. In this paper a novel particle swarm optimization scheme has been introduced to evolve snake over time in a way to reduce time complexity while improving quality of results. Traditional active contour models converge sl... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Evaluation of various evolutionary methods for medical image registration

    Publication Year: 2011, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB) | HTML iconHTML

    In the last few decades, image registration (IR) has been established as a very active research area in computer vision. Over the years, it has been applied to a broad range of real-world problems ranging from remote sensing to medical imaging, artificial vision, and computer-aided design. IR has been usually tackled by iterative approaches considering numerical optimization methods which are like... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Author index

    Publication Year: 2011, Page(s): 38
    Request permission for commercial reuse | PDF file iconPDF (26 KB)
    Freely Available from IEEE