International Journal of Emerging Trends in Science & Technology

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Identification of PAP Smear Image Using Image Processing Techniques


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1 Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India
     

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Nowadays medical image processing is a very important activity of the current techniques and it helps to diagnosis the different types of diseases. In image processing various steps and different techniques are used to retrieve the required image. The main objective of this paper, to discuss about the segmentation techniques, feature extraction methods and image classification techniques. These techniques are helps to select the appropriate method and provide a high accuracy and sensitivity of the given image. Particularly cervical images take to retrieve the data, which cervical cancer is the second most cancer among the world. So this type of image retrieval is help to decrease the women death due to cervical cancer.

Keywords

Accuracy And Sensitivity, Classification, Feature Extraction, Medical Image Processing, Segmentation.
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  • N. Kumaresan, and D. Somasundaram, “Review of pap smears cell segmentation and classification techniques for cervical cancer analysis,” Ethno Med, vol. 12, no. 2, pp. 96-105, 2018. DOI: 11.258359/KRE-76.

  • K. Bora, M. Chowdhury, L. B. Mahanta, M. K. Kundu, and A. K. Das, “Automated classification of Pap smear images to detect cervical dysplasia,” Computer Methods and Programs in Biomedicine, vol. 138, pp. 137-145, 2017.

  • Y.-F. Chen, P.-C. Huang, K.-C. Lin, H.-H. Lin, and L.-E. Wang, “Semi-automatic segmentation and classification of pap smear cells,” IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 1, pp. 94-108, 2014.

  • M. Chowdhury, and M. K. Kundu, “Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier,” Multimedia Tools and Application, vol. 74, no. 24, pp. 11595-11630, 2015.

  • S. Ponnusamy, and R. K. Gnanamurthy, “Computer aided detection of cervical cancer using pap smear images based on hybrid classifier,” International Journal of Applied Engineering Research, vol. 10, no. 8, pp. 21021-21032, 2015.

  • G. Sun, S. Li, Y. Cao, and F. Lang, “Cervical cancer diagnosis based on random forest,” International Journal of Performability Engineering, vol. 13, no. 4, pp. 446-457, July 2017.

  • K. Deepa, and K. Priyanka, “Image salvage based on visual courtesy model using ROI,” International Journal of Engineering and Technology, vol. 7, no. 2.26, pp. 63-66, 2018.

  • K. Bora, L. B. Mahanta, and A. K. Das, “Fuzzy NSCT based feature extraction method for automated classification of pap smear images,” International Journal of Applied Engineering Research, vol. 13, no. 9, pp. 6709-6716, 2018.

  • Vasudha, A. Mittal, and M. Juneja, “Cervix cancer classification using colposcopy images by deep learning method,” International Journal of Engineering Technology Science and Research, vol. 5, no. 3, pp. 426-432, March 2018.

  • L. Zhang, L. Lu, I. Nogues, R. M. Summers, S. Liu, and J. Yao, “DeepPap: Deep convolutional networks for cervical cell classification,” IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 6, pp. 1633-1643, 2017.

  • P. Santhi, and K. Deepa, “Classification system for identifying the chemical structure using support vector machine,” International Journal of Emerging Trends in Science and Technology, vol. 3, no. 1, pp. 10-14, 2017.


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  • Identification of PAP Smear Image Using Image Processing Techniques

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Authors

K. Deepa
Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India
K. Priyanka
Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India

Abstract


Nowadays medical image processing is a very important activity of the current techniques and it helps to diagnosis the different types of diseases. In image processing various steps and different techniques are used to retrieve the required image. The main objective of this paper, to discuss about the segmentation techniques, feature extraction methods and image classification techniques. These techniques are helps to select the appropriate method and provide a high accuracy and sensitivity of the given image. Particularly cervical images take to retrieve the data, which cervical cancer is the second most cancer among the world. So this type of image retrieval is help to decrease the women death due to cervical cancer.

Keywords


Accuracy And Sensitivity, Classification, Feature Extraction, Medical Image Processing, Segmentation.

References