scholarly journals Automatic brain tumor extraction using fuzzy information fusion

2002 ◽  
Author(s):  
Weibei Dou ◽  
Qingmin Liao ◽  
Su Ruan ◽  
Daniel Bloyet ◽  
Jean-Mac Constans ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Information Fusion ◽  
Fuzzy Information ◽  
Tumor Extraction

Fuzzy Information Fusion Scheme Used to Segment Brain Tumor from MR Images

2006 ◽  
pp. 208-215 ◽  
Author(s):  
Weibei Dou ◽  
Su Ruan ◽  
Qingmin Liao ◽  
Daniel Bloyet ◽  
Jean-Marc Constans ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Information Fusion ◽  
Fuzzy Information ◽  
Mr Images ◽  
Fusion Scheme

A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images

2007 ◽  
Vol 25 (2) ◽  
pp. 164-171 ◽  
Author(s):  
Weibei Dou ◽  
Su Ruan ◽  
Yanping Chen ◽  
Daniel Bloyet ◽  
Jean-Marc Constans
Keyword(s):  
Brain Tumor ◽  
Information Fusion ◽  
Fuzzy Information ◽  
Mr Images ◽  
Tumor Tissues

Research on Fault Diagnosis Strategy of Belt Conveyor

2013 ◽  
Vol 312 ◽  
pp. 607-610 ◽  
Author(s):  
Wei Hu ◽  
Ou Li
Keyword(s):  
Fault Diagnosis ◽  
Set Theory ◽  
Information Fusion ◽  
Accurate Diagnosis ◽  
Experimental Result ◽  
Fusion Center ◽  
Fusion Technology ◽  
Fuzzy Information ◽  
Belt Conveyor ◽  
Diagnosis Method

In view of the inadequacy of the fault diagnosis of the belt conveyor, the paper takes advantage of the application of fuzzy information fusion technology to fault diagnosis, based on the fuzzy set theory, a fault diagnosis method based on Multi-sensor fuzzy information fusion is developed. The obtain information of many sensors will fuzzy, again its fusion based on the synthetic operation and decision-making rules of the fusion center, in order to gain the accurate state estimation and judgment of belt conveyor. The experimental result indicates that the credibility of diagnosis is improved markedly and the uncertainty is reduced significantly after the multi-sensor fuzzy information fusion, the accurate diagnosis to belt conveyor is realized.

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