Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method
Open Access
- 21 September 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 4, 5937-5947
- https://doi.org/10.1109/access.2016.2611530
Abstract
It is of enormous significance to detect abnormal brains automatically. This paper develops an efficient pathological brain detection system based on the artificial intelligence method. We first extract brain edges by a Canny edge detector. Next, we estimated the fractal dimension using box counting method with grid sizes of 1, 2, 4, 8, and 16, respectively. Afterward, we employed the single-hidden layer feedforward neural network. Finally, we proposed an improved particle swarm optimization based on three-segment particle representation, time-varying acceleration coefficient, and chaos theory. This three-segment particle representation encodes the weights, biases, and number of hidden neuron. The statistical analysis showed the proposed method achieves the detection accuracies of 100%, 98.19%, and 98.08% over three benchmark data sets. Our method costs merely 0.1984 s to predict one image. Our performance is superior to the 11 state-of-the-art approaches.Funding Information
- NSFC (61602250, 61502206)
- Natural Science Foundation of Jiangsu Province (BK20150983, BK20150523)
- Open Research Fund of Hunan Provincial Key Laboratory of Network Investigational Technology (2016WLZC013)
- Open Fund of Fujian Provincial Key Laboratory of Data Intensive Computing (BD201607)
This publication has 69 references indexed in Scilit:
- GroRec: A Group-Centric Intelligent Recommender System Integrating Social, Mobile and Big Data TechnologiesIEEE Transactions on Services Computing, 2016
- Surface fractal dimension, water adsorption efficiency and cloud nucleation activity of insoluble aerosolScientific Reports, 2016
- Box-Counting Dimension Revisited: Presenting an Efficient Method of Minimizing Quantization Error and an Assessment of the Self-Similarity of Structural Root SystemsFrontiers in Plant Science, 2016
- Design of QoS-Aware Multi-Level MAC-Layer for Wireless Body Area NetworkJournal of Medical Systems, 2015
- An asymptotic perturbation solution for a linear oscillator of free damped vibrations in fractal medium described by local fractional derivativesCommunications in Nonlinear Science and Numerical Simulation, 2015
- Robot and cloud-assisted multi-modal healthcare systemCluster Computing, 2015
- Automated classification of brain images using wavelet-energy and biogeography-based optimizationMultimedia Tools and Applications, 2015
- EMIP: energy-efficient itinerary planning for multiple mobile agents in wireless sensor networkTelecommunication Systems, 2015
- AIWAC: affective interaction through wearable computing and cloud technologyIEEE Wireless Communications, 2015
- CAP: community activity prediction based on big data analysisIEEE Network, 2014