An Improved Boykov’s Graph Cut-Based Segmentation Technique for the Efficient Detection of Cervical Cancer-Reference-Cited by-同舟云学术

An Improved Boykov’s Graph Cut-Based Segmentation Technique for the Efficient Detection of Cervical Cancer

Author:

Devi M. Anousouya¹^ORCID,Ezhilarasie R.²^ORCID,Joseph K. Suresh³,Kotecha Ketan⁴^ORCID,Abraham Ajith⁵^ORCID,Vairavasundaram Subramaniyaswamy²^ORCID

Affiliation:

1. Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai, India

2. School of Computing, SASTRA Deemed University, Thanjavur, India

3. Department of Computer Science, Pondicherry University, Pondicherry, India

4. Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, India

5. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India

Funder

Analytical Center for the Government of the Russian Federation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference35 articles.

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3. Pap-smear cell nucleus extraction by using morphological watershed;orozco-monteagudo;V Latin American Congress on Biomedical Engineering,2011

5. Bio-inspired model classification of squamous cell carcinoma in cervical cancer using SVM;devi;Proc Int Symp Intell Syst Technol Appl,2016

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