Preliminary research on abnormal brain detection by wavelet-energy and quantum- behaved PSO

Author:

Zhang Yudong12,Ji Genlin12,Yang Jiquan2,Wang Shuihua12,Dong Zhengchao3,Phillips Preetha4,Sun Ping5

Affiliation:

1. School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu, China

2. Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing, Jiangsu, China

3. Translational Imaging Division and MRI Unit, Columbia University and New York State Psychiatric Institute, New York, NY, USA

4. School of Natural Sciences and Mathematics, Shepherd University, Shepherdstown, WV, USA

5. Department of Electrical Engineering, The City College of New York, CUNY, New York, NY, USA

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference37 articles.

1. An improved reconstruction method for CS-MRI based on exponential wavelet transform and iterative shrinkage/thresholding algorithm;Zhang;Journal of Electromagnetic Waves and Applications,2014

2. Mitochondrial dysfunction as a neurobiological subtype of autism spectrum disorder: Evidence from brain imaging;Goh;JAMA Psychiatry,2014

3. An improved quality guided phase unwrapping method and its applications to MRI;Zhang;Progress in Electromagnetics Research,2014

4. Multimodal imaging enables early detection and characterization of changes in tumor permeability of brain metastases;Thorsen;Journal of Controlled Release,2013

5. Second order fuzzy measure and weighted co-occurrence matrix for segmentation of brain MR images;Maji;Fundam Inform,2008

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