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논문검색

Hyperchromasia and Texture as effective features for analysis of malignancy in Pap smear Images

초록

영어

This work presents an approach for the analysis of abnormality in the cervical cells based on Texture and presence of Hyperchromasia, which are two important morphological features based on which one can distinguish between normal and abnormal cervical cells. The proposed approach is implemented in MATLAB®, a high level, interactive environment for data visualization/analysis/computation. This may help pathologist in identification of cervical cancer from Pap smear images and help in early diagnosis.

목차

Abstract
 1. Introduction
 2. Overview of Cervical Cancer
 3. Texture and Abnormality
 4. Hyperchromasia and Abnormality
 5. Proposed Method
  5.1. Texture Analysis
  5.2. To Check the Presence of HCG
 6. Results and Discussion
  6.1. Texture Analysis
  6.2. To Check the Presence of HCG
 7. Conclusion
 Acknowledgements
 References

저자정보

  • Lipi B Mahanta Central Computational and Numerical Studies Institute of Advanced Study in Science and Technology Guwahati, Assam
  • Kangkana Bora Regional Institute of Science and Technology 9th Mile, Guwahati, Assam

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