An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach

P. Elayaraja; S. Kumarganesh; K. Martin Sagayam; Hien Dang; Marc Pomplun

doi:10.3233/JIFS-212871

An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach

P. Elayaraja
, S. Kumarganesh
, K. Martin Sagayam
, Hien Dang
, Marc Pomplun

Computer Science

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1023-1033
Number of pages	11
Journal	Journal of Intelligent and Fuzzy Systems
Volume	43
Issue number	1
DOIs	https://doi.org/10.3233/JIFS-212871
State	Published - 2022

ASJC Scopus Subject Areas

Statistics and Probability
General Engineering
Artificial Intelligence

Keywords

ANFIS
Artificial Neural Network
Cervical cancer
classification
features
Gabor
optimization

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10.3233/JIFS-212871

Cite this

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title = "An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach",

keywords = "ANFIS, Artificial Neural Network, Cervical cancer, classification, features, Gabor, optimization",

author = "P. Elayaraja and S. Kumarganesh and \{Martin Sagayam\}, K. and Hien Dang and Marc Pomplun",

year = "2022",

doi = "10.3233/JIFS-212871",

language = "English",

volume = "43",

pages = "1023--1033",

journal = "Journal of Intelligent and Fuzzy Systems",

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T1 - An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach

AU - Elayaraja, P.

AU - Kumarganesh, S.

AU - Martin Sagayam, K.

AU - Dang, Hien

AU - Pomplun, Marc

PY - 2022

Y1 - 2022

KW - ANFIS

KW - Artificial Neural Network

KW - Cervical cancer

KW - classification

KW - features

KW - Gabor

KW - optimization

UR - https://www.scopus.com/pages/publications/85131730004

UR - https://www.scopus.com/pages/publications/85131730004#tab=citedBy

U2 - 10.3233/JIFS-212871

DO - 10.3233/JIFS-212871

M3 - Article

AN - SCOPUS:85131730004

SN - 1064-1246

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SP - 1023

EP - 1033

JO - Journal of Intelligent and Fuzzy Systems

JF - Journal of Intelligent and Fuzzy Systems

IS - 1

ER -

An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach

ASJC Scopus Subject Areas

Keywords

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