Automated classification of Pap smear images to detect cervical dysplasia

@article{Bora2017AutomatedCO,
  title={Automated classification of Pap smear images to detect cervical dysplasia},
  author={Kangkana Bora and Manish Chowdhury and Lipi B. Mahanta and Malay Kumar Kundu and Anup Kumar Das},
  journal={Computer methods and programs in biomedicine},
  year={2017},
  volume={138},
  pages={31-47}
}
BACKGROUND AND OBJECTIVES The present study proposes an intelligent system for automatic categorization of Pap smear images to detect cervical dysplasia, which has been an open problem ongoing for last five decades. METHODS The classification technique is based on shape, texture and color features. It classifies the cervical dysplasia into two-level (normal and abnormal) and three-level (Negative for Intraepithelial Lesion or Malignancy, Low-grade Squamous Intraepithelial Lesion and High… CONTINUE READING
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