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

Added Title

Humanoid, Nanotechnology, Information Technology, Communication and Control Environment and Management International Conference (3rd : 2007 : Century Park Hotel, Manila, Philippines)
HNICEM

Authors

Laurence A. Gan Lim, De La Salle University, Manila
Elmer P. Dadios, De La Salle University, Manila
Raouf N. G. Naguib, De La Salle University, Manila
Debbie de la Fuente, De La Salle University, Health Sciences Campus

College

Gokongwei College of Engineering

Department/Unit

Mechanical Engineering

Document Type

Conference Proceeding

Source Title

Third Humanoid, Nanotechnology, Information Technology, Communication and Control Environment and Management (HNICEM) International Conference

Abstract

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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Recommended Citation

Gan Lim, L. A., Dadios, E. P., Naguib, R. G., & de la Fuente, D. (2022). Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL. Third Humanoid, Nanotechnology, Information Technology, Communication and Control Environment and Management (HNICEM) International Conference Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/5834

Disciplines

Biomechanical Engineering | Manufacturing | Mechanical Engineering

Keywords

Colon (Anatomy)—Cancer—Imaging; Neural networks (Computer science); Genetic algorithms

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