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Quantitative Assessment of Pap Smear Cells by PC-Based Cytopathologic Image Analysis System and Support Vector Machine

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Medical Biometrics (ICMB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4901))

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Abstract

Cytologic screening has been widely used for controlling the prevalence of cervical cancer. Errors from sampling, screening and interpretation, still concealed some unpleasant results. This study aims at designing a cellular image analysis system based on feasible and available software and hardware for a routine cytologic laboratory. Totally 1814 cellular images from the liquid-based cervical smears with Papanicolaou stain in 100x, 200x, and 400x magnification were captured by a digital camera. Cell images were reviewed by pathologic experts with peer agreement and only 503 images were selected for further study. The images were divided into 4 diagnostic categories. A PC-based cellular image analysis system (PCCIA) was developed for computing morphometric parameters. Then support vector machine (SVM) was used to classify signature patterns. The results show that the selected 13 morphometric parameters can be used to correctly differentiate the dysplastic cells from the normal cells (p<0.001). Additionally, SVM classifier has been demonstrated to be able to achieve a high accuracy for cellular classification. In conclusion, the proposed system provides a feasible and effective tool for the evaluation of gynecologic cytologic specimens.

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Author information

Authors and Affiliations

  1. Department of Pathology, Taichung Hospital, Department of Health, Executive Yuan, 403 Taichung, Taiwan

    Po-Chi Huang

  2. Department of Management Information Systems, National Chung Hsin University, 402 Taichung, Taiwan

    Yung-Kuan Chan

  3. Department of Management Information Systems, Central Taiwan University of Science and Technology, 411 Taichung, Taiwan

    Po-Chou Chan

  4. Department of Health Services Administration, China Medical University, 404 Taichung, Taiwan

    Yung-Fu Chen

  5. Department of Information Management, Chaoyang University of Technology, 413 Taichung, Taiwan

    Rung-Ching Chen & Yu-Ruei Huang

Authors
  1. Po-Chi Huang
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  2. Yung-Kuan Chan
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  3. Po-Chou Chan
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  4. Yung-Fu Chen
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  5. Rung-Ching Chen
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  6. Yu-Ruei Huang
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Editor information

Editors and Affiliations

  1. Department of Computing, Hung Hom, Kowloon, The Hong Kong Polytechnic University, Hong Kong

    David Zhang

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© 2007 Springer-Verlag Berlin Heidelberg

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Huang, PC., Chan, YK., Chan, PC., Chen, YF., Chen, RC., Huang, YR. (2007). Quantitative Assessment of Pap Smear Cells by PC-Based Cytopathologic Image Analysis System and Support Vector Machine. In: Zhang, D. (eds) Medical Biometrics. ICMB 2008. Lecture Notes in Computer Science, vol 4901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77413-6_25

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  • DOI: https://doi.org/10.1007/978-3-540-77413-6_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77410-5

  • Online ISBN: 978-3-540-77413-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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