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Study on evaluating the significance of 3D nuclear texture features for diagnosis of cervical cancer

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(10), pp.83-92
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Hyunju Choi 1 김태윤 2 Patrik Malm 3 엘버트 3 HeungKook Choi 1

1인제대학교
2국립암센터
3웁살라 대학교

Accredited

ABSTRACT

The aim of this study is to evaluate whether 3D nuclear chromatin texture features are significant in recognizing the progression of cervical cancer. In particular, we assessed that our method could detect subtle differences in the chromatin pattern of seemingly normal cells on specimens with malignancy. We extracted nuclear texture features based on 3D GLCM(Gray Level Co‐occurrence Matrix) and 3D Wavelet transform from 100 cell volume data for each group (Normal, LSIL and HSIL). To evaluate the feasibility of 3D chromatin texture analysis, we compared the correct classification rate for each of the classifiers using them. In addition to this, we compared the correct classification rates for the classifiers using the proposed 3D nuclear texture features and the 2D nuclear texture features which were extracted in the same way. The results showed that the classifier using the 3D nuclear texture features provided better results. This means our method could improve the accuracy and reproducibility of quantification of cervical cell.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.