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Computer-Aided Diagnosis (CAD) for Cervical Cancer Screening and Diagnosis: A New System Design in Medical Image Processing

  • Wenjing Li
  • Viara Van Raad
  • Jia Gu
  • Ulf Hansson
  • Johan Hakansson
  • Holger Lange
  • Daron Ferris
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3765)

Abstract

Uterine cervical cancer is the second most common cancer among women worldwide. Physicians visually inspect the cervix for certain distinctly abnormal morphologic features that indicate precursor lesions and invasive cancer. We introduce our vision of a Computer-Aided-Diagnosis (CAD) system for cervical cancer screening and diagnosis and provide the details of our system design and development process. The proposed CAD system is a complex multi-sensor, multi-data and multi-feature image analysis system. The feature set used in our CAD systems includes the same visual features used by physician and could be extended to new features introduced by new instrument technologies, like fluorescence spectroscopy. Preliminary results of our research on detecting the three most important features: blood vessel structures, acetowhite regions and lesion margins are shown.

Keywords

Cervical Cancer Cervical Intraepithelial Neoplasia Cervical Cancer Screening Image Processing Algorithm Cervical Neoplasia 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Wenjing Li
    • 1
  • Viara Van Raad
    • 1
  • Jia Gu
    • 1
  • Ulf Hansson
    • 1
  • Johan Hakansson
    • 1
  • Holger Lange
    • 1
  • Daron Ferris
    • 2
  1. 1.STI Medical SystemsHonoluluUSA
  2. 2.Medical College of GeorgiaAugustaUSA

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