Detection and Characterization of Abnormal Vascular Patterns in Automated Cervical Image Analysis

  • Wenjing Li
  • Allen Poirson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)


In colposcopy, mosaic and punctation are two major abnormal vessels associated with cervical intraepithelial neoplasia (CIN). Detection and characterization of mosaic and punctation in digital cervical images is a crucial step towards developing a computer-aided diagnosis (CAD) system for cervical cancer screening and diagnosis. This paper presents automated techniques for detection and characterization of mosaic and punctation vessels in cervical images. The techniques are based on iterative morphological operations with various sizes of structural elements, in combination with adaptive thresholding. Information about color, region, and shape properties is used to refine the detection results. The techniques have been applied to clinical data with promising results.


Branch Point Cervical Intraepithelial Neoplasia Cervical Cancer Screening Mosaic Pattern Vessel Detection 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wenjing Li
    • 1
  • Allen Poirson
    • 1
  1. 1.STI Medical SystemsHawaiiUSA

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