Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL

This paper proposes a strategy for developing an automatic classifier system for colonic mucosa microscopic images using genetic algorithm, artificial neural networks, and fuzzy logic. The paper also includes a short overview of some of the tools and techniques that will be needed in the study, name...

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Main Authors:	Gan Lim, Laurence A., Dadios, Elmer P., Naguib, Raouf N. G., de la Fuente, Debbie
Format:	text
Published:	Animo Repository 2022
Subjects:	Colon (Anatomy)—Cancer—Imaging Neural networks (Computer science) Genetic algorithms Biomechanical Engineering Manufacturing Mechanical Engineering
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/5834
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-6651
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-66512022-06-09T05:54:32Z Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL Gan Lim, Laurence A. Dadios, Elmer P. Naguib, Raouf N. G. de la Fuente, Debbie This paper proposes a strategy for developing an automatic classifier system for colonic mucosa microscopic images using genetic algorithm, artificial neural networks, and fuzzy logic. The paper also includes a short overview of some of the tools and techniques that will be needed in the study, namely: textural features, artificial neural networks, genetic algorithms, fuzzy logic, and fuzzy C-means clustering. The proposed methodology is discussed in the last section. 2022-05-25T09:30:58Z text https://animorepository.dlsu.edu.ph/faculty_research/5834 Faculty Research Work Animo Repository Colon (Anatomy)—Cancer—Imaging Neural networks (Computer science) Genetic algorithms Biomechanical Engineering Manufacturing Mechanical Engineering
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Colon (Anatomy)—Cancer—Imaging Neural networks (Computer science) Genetic algorithms Biomechanical Engineering Manufacturing Mechanical Engineering
spellingShingle	Colon (Anatomy)—Cancer—Imaging Neural networks (Computer science) Genetic algorithms Biomechanical Engineering Manufacturing Mechanical Engineering Gan Lim, Laurence A. Dadios, Elmer P. Naguib, Raouf N. G. de la Fuente, Debbie Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL
description	This paper proposes a strategy for developing an automatic classifier system for colonic mucosa microscopic images using genetic algorithm, artificial neural networks, and fuzzy logic. The paper also includes a short overview of some of the tools and techniques that will be needed in the study, namely: textural features, artificial neural networks, genetic algorithms, fuzzy logic, and fuzzy C-means clustering. The proposed methodology is discussed in the last section.
format	text
author	Gan Lim, Laurence A. Dadios, Elmer P. Naguib, Raouf N. G. de la Fuente, Debbie
author_facet	Gan Lim, Laurence A. Dadios, Elmer P. Naguib, Raouf N. G. de la Fuente, Debbie
author_sort	Gan Lim, Laurence A.
title	Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL
title_short	Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL
title_full	Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL
title_fullStr	Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL
title_full_unstemmed	Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL
title_sort	methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid ga-nn-fl
publisher	Animo Repository
publishDate	2022
url	https://animorepository.dlsu.edu.ph/faculty_research/5834
_version_	1767196402110169088

Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL

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