Neutrosophic graph cut-based segmentation scheme for efficient cervical cancer detection

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2022 English Publisher:Springer Science and Business Media LLCJournal:Journal of King Saud University - Computer and Information Sciences, volume 34, pages 1,352-1,360 (issn: 1319-1578,

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Authors: M. Anousouya Devi; J. I. Sheeba; K. Suresh Joseph;

doi: 10.1016/j.jksuci.2018.09.014 , 10.5281/zenodo.3078018 , 10.5281/zenodo.3078017

Neutrosophic graph cut-based segmentation scheme for efficient cervical cancer detection

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Abstract

Cervical cancer is the most serious category of cancer that has very low survival rate in the women’s community around the globe. This survival probability of women society affected by this cervical cancer can be potentially enhanced if it is detected at an early stage as they do not provide any realizable degree of symptoms in the early phase.

Related Organizations

Pondicherry University
India
Puducherry Technological University
India
Pondicherry Engineering College
India

Keywords

Neutrosophic graph cut-based segmentation, Neutrosophic C-means clustering technique, Electronic computers. Computer science, Cervical cancer, QA75.5-76.95, Pap smear test, Indeterminacy filter

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