Browsing Cyfrifiadureg / Computer Science by Author "Denton, Erika R. E."

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  • He, Wenda; Denton, Erika R. E.; Zwiggelaar, Reyer; Strange, Harry (2008-07)
  • Freixenet, Jordi; Oliver, Arnau; Martí, Robert; Lladó, Xavier; Pont, Josep; Pérez, Elsa; Denton, Erika R. E.; Zwiggelaar, Reyer (2008)
    The purpose of this article is to present a novel algorithm for the detection of masses in mammographic computer-aided diagnosis systems. Four key points provide the novelty of our approach: (1) the use of eigenanalysis ...
  • Qi, Da; Denton, Erika R. E.; Leason, Joanna M. E.; Othman, Diaa; Zwiggelaar, Reyer (2008)
    In this paper, we describe the evaluation of the effects of mammographic semantic information in breast cancer diagnoses. A brief description of relations between semantic information and image features are given. We ...
  • Oliver, A.; Freixenet, Jordi; Marti, R.; Pont, J.; Perez, E.; Denton, Erika R. E.; Zwiggelaar, Reyer (2008-01-07)
    It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, ...
  • Oliver, Arnau; Freixenet, Jordi; Marti, Joan; Denton, Erika R. E.; Zwiggelaar, Reyer; Pérez, Elsa; Pont, Josep (2010-02-01)
    The aim of this paper is to review existing approaches to the automatic detection and segmentation of masses in mammographic images, highlighting the key-points and main differences between the used strategies. The key ...
  • Rubin, C. M. E.; Marti, R.; Denton, Erika R. E.; Zwiggelaar, Reyer (2004)
    We present a framework for the registration and correspondence of magnetic resonance (MR) (three-dimensional data, 3D, data) and x-ray (two-dimensional data, 2D, data) mammographic images. The robustness of this work relies ...

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