Considerations for a PAP Smear Image Analysis System with CNN Features

@article{Gautam2018ConsiderationsFA,
  title={Considerations for a PAP Smear Image Analysis System with CNN Features},
  author={Srishti Gautam and K. K. HarinarayanK. and O. U. Nirmal Jith and Anil Kumar Sao and Arnav Bhavsar and Adarsh Natarajan},
  journal={CoRR},
  year={2018},
  volume={abs/1806.09025}
}
It has been shown that for automated PAP-smear image classification, nucleus features can be very informative. Therefore, the primary step for automated screening can be cell-nuclei detection followed by segmentation of nuclei in the resulting single cell PAP-smear images. We propose a patch based approach using CNN for segmentation of nuclei in single cell images. We then pose the question of ion of segmentation for classification using representation learning with CNN, and whether low-level… CONTINUE READING
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