Context Enhanced Graphical Model for Object Localization in Medical Images

  • Yang Song
  • Weidong Cai
  • Heng Huang
  • Yue Wang
  • David Dagan Feng
Conference paper

DOI: 10.1007/978-3-642-36620-8_19

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7766)
Cite this paper as:
Song Y., Cai W., Huang H., Wang Y., Feng D.D. (2013) Context Enhanced Graphical Model for Object Localization in Medical Images. In: Menze B.H., Langs G., Lu L., Montillo A., Tu Z., Criminisi A. (eds) Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging. MCV 2012. Lecture Notes in Computer Science, vol 7766. Springer, Berlin, Heidelberg

Abstract

Object localization is an important step common to many different medical applications. In this Chapter, we will review the challenges and recent approaches tackling this problem, and focus on the work by Song et.al. [20]. In [20], a new graphical model with additional contrast and interest-region potentials is designed, encoding the higher-order contextual information between regions, on the global and structural levels. A discriminative sparse-coding based interest-region detector is also integrated as one of the context prior in the graphical model. This object localization method is generally applicable to different medical imaging applications, in which the objects can be distinguished from the background mainly based on feature differences. Successful applications on two different medical imaging applications – lesion dissimilarity on thoracic PET-CT images and cell segmentation on microscopic images – are demonstrated in the experimental results.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yang Song
    • 1
  • Weidong Cai
    • 1
  • Heng Huang
    • 2
  • Yue Wang
    • 3
  • David Dagan Feng
    • 1
  1. 1.BMIT Research Group, School of ITUniversity of SydneyAustralia
  2. 2.Computer Science and EngineeringUniversity of Texas at ArlingtonUSA
  3. 3.Bradley Department of Electrical and Computer EngineeringVirginia Polytechnic Institute and State UniversityUSA

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