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  • 标题:Hyperchromasia and Texture as effective features for analysis of malignancy in Pap smear Images
  • 本地全文:下载
  • 作者:Lipi B Mahanta ; Kangkana Bora
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2013
  • 卷号:6
  • 期号:4
  • 出版社:SERSC
  • 摘要: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.
  • 关键词:Pap smear; Cervical cancer; Histogram; Gray-level Co-occurrence Matrix; Hyperchromasia
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