J4 ›› 2010, Vol. 45 ›› Issue (7): 70-75.

• Articles • Previous Articles     Next Articles

A context based method for ROI detection in digitized mammograms

GUO Qiao-jin, DING Yi, LI Ning   

  1. National Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing 210093, Jiangsu, China
  • Received:2010-04-02 Online:2010-07-16 Published:2010-09-06

Abstract:

In order to solve the problem that context information was often missed in ROI (region of interest)detection. probability latent semantic analysis(PLSA) was employed to extract the context information from surrounding regions,and the context information was used as context features to aid ROI detection. Experimental results showed that the context information can effectively improve the accuracy of ROI detection.

Key words: mammogram; ROI-detection; probability latent semantic analysis

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