Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Review of Medical Image Classification Using the Adaptive Neuro-Fuzzy Inference System Publisher



Hosseini MS1 ; Zekri M1, 2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Electrical and Engineering, Isfahan University of Technology, Isfahan, Iran
  2. 2. Medical Image and Signal Processing Research Center, Isfahan University of Medical Science, Isfahan, Iran

Source: Journal of Medical Signals and Sensors Published:2012


Abstract

Image classification is an issue that utilizes image processing, pattern recognition and classification methods. Automatic medical image classification is a progressive area in image classification, and it is expected to be more developed in the future. Because of this fact, automatic diagnosis can assist pathologists by providing second opinions and reducing their workload. This paper reviews the application of the adaptive neuro-fuzzy inference system (ANFIS) as a classifier in medical image classification during the past 16 years. ANFIS is a fuzzy inference system (FIS) implemented in the framework of an adaptive fuzzy neural network. It combines the explicit knowledge representation of an FIS with the learning power of artificial neural networks. The objective of ANFIS is to integrate the best features of fuzzy systems and neural networks. A brief comparison with other classifiers, main advantages and drawbacks of this classifier are investigated.
Related Docs
1. Survey and Classification of Functional Characteristics in Neural Network Technique for the Diagnosis of Ischemic Heart Disease: A Systematic Review, Journal of Isfahan Medical School (2018)
2. A Hybrid Intelligent System for Diagnosing Microalbuminuria in Type 2 Diabetes Patients Without Having to Measure Urinary Albumin, Computers in Biology and Medicine (2014)
3. Desired Accuracy Estimation of Noise Function From Ecg Signal by Fuzzy Approach, Journal of Medical Signals and Sensors (2012)
4. Unsupervised Fuzzy Cognitive Map in Diagnosis of Breast Epithelial Lesions, 2015 22nd Iranian Conference on Biomedical Engineering, ICBME 2015 (2016)
5. Optimization of the Anfis Using a Genetic Algorithm for Physical Work Rate Classification, International Journal of Occupational Safety and Ergonomics (2020)
6. A Novel Soft Computing Method Based on Interval Type-2 Fuzzy Logic for Classification of Celiac Disease, 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering, ICBME 2016 (2017)
7. Application of an Expert System Based on Genetic Algorithm-Adaptive Neuro-Fuzzy Inference System (Ga-Anfis) in Qsar of Cathepsin K Inhibitors, Expert Systems with Applications (2012)
Experts (# of related papers)
View all Related Experts
Azar Naimi (2)
Lotfollah Saghaie Dehkordi (1)