Segmentation of cervical cells for automated screening of cervical cancer: a review

Author:

Sarwar Abid,Sheikh Abrar Ali,Manhas Jatinder,Sharma Vinod

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference92 articles.

1. Abikoye OC et al (2017) A K-means and fuzzy logic-based system for clinical diagnosis (staging) of cervical cancer. Int J Telemed Clin Pract 2(2):168–196

2. Ashok B, Aruna P (2016) Comparison of Feature selection methods for diagnosis of cervical cancer using SVM classifier. Int J Eng Res Appl 6:94–99

3. Athinarayanan S, Srinath MV (2016) Classification of cervical cancer cells in PAP smear screening test. ICTACT J Image Video Process 6(4):1234–1238

4. Bak E, Kayvan N, Brockway JP (2004) Efficient segmentation framework of cell images in noise environments. In: The 26th annual international conference of the IEEE engineering in medicine and biology society, vol 1. IEEE

5. Bamford P, Brian L (1998) Bayesian analysis of cell nucleus segmentation by a Viterbi search based active contour. In: Proceedings of fourteenth international conference on pattern recognition (Cat. No. 98EX170), vol 1. IEEE

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