Tissue classification in magnetic resonance images through the hybrid approach of Michigan and Pittsburg genetic algorithm-Reference-Cited by-同舟云学术

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Tissue classification in magnetic resonance images through the hybrid approach of Michigan and Pittsburg genetic algorithm

Published:2011-06 Issue:4 Volume:11 Page:3476-3484
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Mehta Shashi Bhushan,Chaudhury Santanu,Bhattacharyya Asok,Jena Amarnath

Publisher

Elsevier BV

Subject

Software

Reference33 articles.

1. A multispectral analysis of brain tissues;Fletcher;Magnetic Resonance Medicine,1993

2. MRI: The Basic, Lippincott;Hashemi,1997

3. A survey of threshold selection techniques;Wesks;Computer Graphics and Image Processing,1978

4. A survey of thresholding techniques;Sahoo;Computer Vision Graphics and Image Processing,1980

5. A comparative performance study of several thresholding techniques for segmentation;Lee;Computer Vision Graphic and Image Processing,1990

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2. Multi-objective Grey Wolf Optimizer for improved cervix lesion classification;Applied Soft Computing;2017-03

3. MRI Brain Images Healthy and Pathological Tissues Classification with the Aid of Improved Particle Swarm Optimization and Neural Network;Computational and Mathematical Methods in Medicine;2015

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