Neuro-Fuzzy Approach Toward Segmentation of Brain MRI Based on Intensity and Spatial Distribution

2010 ◽  
Vol 41 (2) ◽  
pp. 66-71 ◽  
Author(s):  
Kaliyil Janardhan Shanthi ◽  
Madhavan Nair Sasikumar ◽  
Chandrasekharan Kesavadas
Keyword(s):  
Spatial Distribution ◽  
Brain Mri ◽  
Fuzzy Approach ◽  
Neuro Fuzzy

scholarly journals Brain Cancer Detection using Neuro Fuzzy Logic

2011 ◽  
pp. 58-61
Author(s):  
Laxmi Ghodke ◽  
Apeksha Naik ◽  
Rahul Konale ◽  
Suchit Mehta
Keyword(s):  
Cancer Detection ◽  
Brain Cancer ◽  
Brain Mri ◽  
Fuzzy Approach ◽  
Image Processing Techniques ◽  
Neuro Fuzzy ◽  
Different Types ◽  
Processing Techniques ◽  
The Given ◽  
Aided Diagnosis

This paper presents an approach of computer-aided diagnosis for early prediction of cancer cells in brain. It extracts the texture from the given brain MRI sample.It uses image processing techniques followed by neuro classification for prediction of Cancer for a given MRI sample. A neuro fuzzy approach is used for the recognition of the extracted region. The implementation is observed on various types of MRI images with different types of cancer regions.

Control of Organic Rankine Cycle, a neuro-fuzzy approach

2021 ◽  
Vol 109 ◽  
pp. 104728
Author(s):  
H. Enayatollahi ◽  
P. Fussey ◽  
B.K. Nguyen
Keyword(s):  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Fuzzy Approach ◽  
Neuro Fuzzy

Application of neuro-fuzzy approach in prediction of runup in swash zone

2008 ◽  
Vol 30 (1) ◽  
pp. 17-27 ◽  
Author(s):  
R. Bakhtyar ◽  
A. Yeganeh Bakhtiary ◽  
A. Ghaheri
Keyword(s):  
Swash Zone ◽  
Fuzzy Approach ◽  
Neuro Fuzzy
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