Pap smear image classification using convolutional neural network

@inproceedings{Bora2016PapSI,
  title={Pap smear image classification using convolutional neural network},
  author={Kangkana Bora and Manish Chowdhury and Lipi B. Mahanta and Malay Kumar Kundu and Anup Kumar Das},
  booktitle={ICVGIP},
  year={2016}
}
This article presents the result of a comprehensive study on deep learning based Computer Aided Diagnostic techniques for classification of cervical dysplasia using Pap smear images. All the experiments are performed on a real indigenous image database containing 1611 images, generated at two diagnostic centres. Focus is given on constructing an effective feature vector which can perform multiple level of representation of the features hidden in a Pap smear image. For this purpose Deep… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-3 of 3 references

Automatic cervical cell segmentation and classification in Pap smears

Computer Methods and Programs in Biomedicine • 2014
View 5 Excerpts
Highly Influenced

Unsupervised Feature Selection Using Feature Similarity

IEEE Trans. Pattern Anal. Mach. Intell. • 2002
View 3 Excerpts
Highly Influenced