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

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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Bibliographic Details
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
Description
Summary: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.

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