Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm

Expert Systems with Applications ◽

10.1016/j.eswa.2017.02.042 ◽

2017 ◽

Vol 79 ◽

pp. 164-180 ◽

Author(s):

Diego Oliva ◽

Salvador Hinojosa ◽

Erik Cuevas ◽

Gonzalo Pajares ◽

Omar Avalos ◽

...

Keyword(s):

Magnetic Resonance ◽

Search Algorithm ◽

Cross Entropy ◽

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Segmentation of Magnetic Resonance Brain Images Through the Self-Adaptive Differential Evolution Algorithm and the Minimum Cross-Entropy Criterion

Applications of Hybrid Metaheuristic Algorithms for Image Processing - Studies in Computational Intelligence ◽

10.1007/978-3-030-40977-7_14 ◽

2020 ◽

pp. 311-350

Author(s):

Itzel Aranguren ◽

Arturo Valdivia ◽

Marco A. Pérez

Keyword(s):

Magnetic Resonance ◽

Differential Evolution ◽

Differential Evolution Algorithm ◽

The Self ◽

Cross Entropy ◽

Brain Images ◽

Adaptive Differential Evolution ◽

Evolution Algorithm ◽

Entropy Criterion ◽

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Hybrid cross entropy—cuckoo search algorithm for solving optimal power flow with renewable generators and controllable loads

Optimal Control Applications and Methods ◽

10.1002/oca.2759 ◽

2021 ◽

Author(s):

Jigar Sarda ◽

Kartik Pandya ◽

Kwang Y. Lee

Keyword(s):

Optimal Power Flow ◽

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Cross Entropy ◽

Optimal Power ◽

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Image segmentation with Kapur, Otsu and minimum cross entropy based multilevel thresholding aided with cuckoo search algorithm

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1119/1/012019 ◽

2021 ◽

Vol 1119 (1) ◽

pp. 012019

Author(s):

R Kalyani ◽

P D Sathya ◽

V P Sakthivel

Keyword(s):

Image Segmentation ◽

Search Algorithm ◽

Cuckoo Search ◽

Cuckoo Search Algorithm ◽

Cross Entropy ◽

Multilevel Thresholding ◽

Minimum Cross Entropy

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An Efficient Method to Minimize Cross-Entropy for Selecting Multi-Level Threshold Values using an Improved Human Mental Search Algorithm

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115106 ◽

2021 ◽

pp. 115106

Author(s):

Leila Esmaeili ◽

Seyed Jalaleddin Mousavirad ◽

Ali Shahidinejad

Keyword(s):

Efficient Method ◽

Search Algorithm ◽

Cross Entropy ◽

Threshold Values ◽

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A recurrent cooperative/competitive field for segmentation of magnetic resonance brain images

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/69.134252 ◽

1992 ◽

Vol 4 (2) ◽

pp. 156-161 ◽

Author(s):

A.J. Worth ◽

S. Lehar ◽

D.N. Kennedy

Keyword(s):

Magnetic Resonance ◽

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Comparison of atlas-based segmentation of subcortical structures in magnetic resonance brain images

2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI) ◽

10.1109/ssiai.2010.5483932 ◽

2010 ◽

Author(s):

S. Yousefi ◽

N. Kehtarnavaz ◽

A. Gholipour ◽

K. Gopinath ◽

R. Briggs

Keyword(s):

Magnetic Resonance ◽

Subcortical Structures ◽

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Classification of Magnetic Resonance Brain Images Using Local Binary Pattern as Input to Minimal Complexity Machine

Advances in Intelligent Systems and Computing - Computing, Communication and Signal Processing ◽

10.1007/978-981-13-1513-8_90 ◽

2018 ◽

pp. 883-893

Author(s):

Heena Hooda ◽

Om Prakash Verma

Keyword(s):

Magnetic Resonance ◽

Local Binary Pattern ◽

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New Evidences on Automatic Tumor Segmentation in Magnetic Resonance Brain Images

IFMBE Proceedings - World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany ◽

10.1007/978-3-642-03882-2_316 ◽

2009 ◽

pp. 1190-1193 ◽

Author(s):

L. L. Caldeira ◽

P. Almeida ◽

J. Seabra

Keyword(s):

Magnetic Resonance ◽

Tumor Segmentation ◽

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An Automatic Classification of Magnetic Resonance Brain Images Using Machine Learning Techniques

Lecture Notes in Electrical Engineering - Proceedings of the 2nd International Conference on Communication, Devices and Computing ◽

10.1007/978-981-15-0829-5_45 ◽

2019 ◽

pp. 463-472

Author(s):

R. Murugan

Keyword(s):

Machine Learning ◽

Magnetic Resonance ◽

Automatic Classification ◽

Machine Learning Techniques ◽

Brain Images ◽

Learning Techniques

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Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

Cognitive Systems Research ◽

10.1016/j.cogsys.2018.12.015 ◽

2019 ◽

Vol 57 ◽

pp. 147-159 ◽

Author(s):

Rachna Jain ◽

Nikita Jain ◽

Akshay Aggarwal ◽

D. Jude Hemanth

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Magnetic Resonance ◽

Convolutional Neural Network ◽

Disease Classification ◽

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