Review of medical image classification using the adaptive neuro-fuzzy inference system
Open Access
- 1 January 2012
- journal article
- review article
- Published by Medknow in Journal of Medical Signals and Sensors
- Vol. 2 (1), 49-60
- https://doi.org/10.4103/2228-7477.108171
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.Keywords
This publication has 24 references indexed in Scilit:
- Computerized Decision Support System for Mass Identification in Breast Using Digital Mammogram: A Study on GA-Based Neuro-Fuzzy ApproachesAdvances in Experimental Medicine and Biology, 2011
- Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification DiagnosisJournal of Medical Systems, 2010
- An adaptive neurofuzzy technique for determination of blood acidityComputer Methods in Biomechanics and Biomedical Engineering, 2010
- 3D Image Analysis and Artificial Intelligence for Bone Disease ClassificationJournal of Medical Systems, 2009
- Medical data mining by fuzzy modeling with selected featuresArtificial Intelligence in Medicine, 2008
- Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signalsArtificial Intelligence in Medicine, 2008
- Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extractionComputers in Biology and Medicine, 2007
- Neuro-fuzzy system for prostate cancer diagnosisUrology, 2006
- Adaptive neuro-fuzzy inference systems for analysis of internal carotid arterial Doppler signalsComputers in Biology and Medicine, 2005
- NEFCLASSmdash;a neuro-fuzzy approach for the classification of dataPublished by Association for Computing Machinery (ACM) ,1995