A Hybrid Feature Selection for MRI Brain Tumor Classification

Advances in Intelligent Systems and Computing - Innovations in Bio-Inspired Computing and Applications ◽

10.1007/978-3-319-76354-5_30 ◽

2018 ◽

pp. 329-338

Author(s):

Ahmed Kharrat ◽

Mahmoud Neji

Keyword(s):

Feature Selection ◽

Brain Tumor ◽

Tumor Classification ◽

Mri Brain ◽

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Hybrid Tolerance Rough Set–Firefly based supervised feature selection for MRI brain tumor image classification

Applied Soft Computing ◽

10.1016/j.asoc.2016.03.014 ◽

2016 ◽

Vol 46 ◽

pp. 639-651 ◽

Author(s):

Jothi G. ◽

Hannah Inbarani H.

Keyword(s):

Feature Selection ◽

Brain Tumor ◽

Image Classification ◽

Rough Set ◽

Mri Brain ◽

Tolerance Rough Set ◽

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MRI Brain Tumor Classification Using Cuckoo Search Support Vector Machines and Particle Swarm Optimization Based Feature Selection

2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) ◽

10.1109/icoei.2018.8553697 ◽

2018 ◽

Author(s):

A. R Deepa ◽

W. R Sam emmanuel

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Brain Tumor ◽

Support Vector Machines ◽

Cuckoo Search ◽

Tumor Classification ◽

Support Vector ◽

Swarm Optimization ◽

Mri Brain ◽

Vector Machines

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Brain Tumor Classification with MRI Brain Images Using 2-Level GLCM Features and Sparse Representation based Segmentation

2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) ◽

10.1109/iciss49785.2020.9315971 ◽

2020 ◽

Author(s):

S. L. Jany Shabu ◽

C. Jayakumar

Keyword(s):

Brain Tumor ◽

Sparse Representation ◽

Tumor Classification ◽

Brain Images ◽

Mri Brain ◽

Mri Brain Images

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MRI brain tumor classification using Support Vector Machines and meta-heuristic method

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA) ◽

10.1109/isda.2015.7489271 ◽

2015 ◽

Author(s):

Ahmed Kharrat ◽

Mohamed Ben Halima ◽

Mounir Ben Ayed

Keyword(s):

Brain Tumor ◽

Support Vector Machines ◽

Heuristic Method ◽

Tumor Classification ◽

Support Vector ◽

Mri Brain ◽

Vector Machines

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Rough Power Set Tree for Feature Selection and Classification: Case Study on MRI Brain Tumor

Innovations in Bio-inspired Computing and Applications - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-01781-5_24 ◽

2014 ◽

pp. 259-270 ◽

Author(s):

Waleed Yamany ◽

Nashwa El-Bendary ◽

Hossam M. Zawbaa ◽

Aboul Ella Hassanien ◽

Václav Snášel

Keyword(s):

Feature Selection ◽

Brain Tumor ◽

Mri Brain ◽

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MRI brain tumor classification Employing transform Domain projections

2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS) ◽

10.1109/mwscas48704.2020.9184678 ◽

2020 ◽

Author(s):

Maedeh Sadat Fasihi ◽

Wasfy B. Mikhael

Keyword(s):

Brain Tumor ◽

Tumor Classification ◽

Transform Domain ◽

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Automated MRI Brain Tumor Classification and Cancer Detection Using Support Vector Machine

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i11.953959 ◽

2018 ◽

Vol 6 (11) ◽

pp. 953-959

Author(s):

M. A. Rahman

Keyword(s):

Support Vector Machine ◽

Brain Tumor ◽

Cancer Detection ◽

Tumor Classification ◽

Support Vector ◽

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Y-Net: A Reducing Gaussian Noise Convolutional Neural Network for MRI Brain Tumor Classification with NADE Concatenation

Biomedical Physics & Engineering Express ◽

10.1088/2057-1976/ac107b ◽

2021 ◽

Author(s):

raheleh hashemzehi ◽

Seyyed Javad Seyyed Mahdavi ◽

Maryam Kheirabadi ◽

Seyed Reza Kamel

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Convolutional Neural Network ◽

Gaussian Noise ◽

Tumor Classification ◽

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Multiclass Feature Selection for Improved Pediatric Brain Tumor Segmentation

10.1117/12.911018 ◽

2012 ◽

Author(s):

Shaheen Ahmed ◽

Khan M. Iftekharuddin

Keyword(s):

Feature Selection ◽

Brain Tumor ◽

Pediatric Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Selection For ◽

Pediatric Brain

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Optimal Feature Set Selection for Brain Tumor Classification using Genetic Algorithm with Support Vector Machine and Decision Tree

Asian Journal of Research in Social Sciences and Humanities ◽

10.5958/2249-7315.2016.00825.x ◽

2016 ◽

Vol 6 (9) ◽

pp. 660

Author(s):

S. Kavitha ◽

B. Bharathi ◽

K. Mohana Priya ◽

S. Mohana Priya ◽

V. C. Nithus Sushmy

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Brain Tumor ◽

Decision Tree ◽

Tumor Classification ◽

Support Vector ◽

Selection For ◽

Optimal Feature

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