Brain Tumor Classification in Magnetic Resonance Images Using Deep Learning and Wavelet Transform

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
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E-mail: jbise@scirp.org

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"Brain Tumor Classification in Magnetic Resonance Images Using Deep Learning and Wavelet Transform"
written by Ahmad M. Sarhan,
published by Journal of Biomedical Science and Engineering, Vol.13 No.6, 2020

has been cited by the following article(s):

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[1]	MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification Expert Systems with Applications, 2023 DOI:10.1016/j.eswa.2022.118776

[2]	Hybrid Optimization Algorithm Enabled Deep Learning Approach Brain Tumor Segmentation and Classification Using MRI Journal of Digital Imaging, 2023 DOI:10.1007/s10278-022-00752-2

[3]	MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification Expert Systems with Applications, 2023 DOI:10.1016/j.eswa.2022.118776

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[6]	MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification Expert Systems with Applications, 2023 DOI:10.1016/j.eswa.2022.118776

[7]	The power of deep learning for intelligent tumor classification systems: A review Computers and Electrical Engineering, 2023 DOI:10.1016/j.compeleceng.2023.108586

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[19]	Performance Enhancement of MRI Based Brain Tumor Classification Using Suitable Segmentation Method and Deep Learning-Based Ensemble Algorithm SSRN Electronic Journal , 2022 DOI:10.2139/ssrn.4055814

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[21]	Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging 2022 26th International Conference on Pattern Recognition (ICPR), 2022 DOI:10.1109/ICPR56361.2022.9956125

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[24]	Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches Computers, 2022 DOI:10.3390/computers11010010

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[30]	BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification Computational Intelligence and Neuroscience, 2022 DOI:10.1155/2022/1465173

[31]	Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis Applied Sciences, 2022 DOI:10.3390/app12157953

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[33]	An evaluation of lightweight deep learning techniques in medical imaging for high precision COVID-19 diagnostics Healthcare Analytics, 2022 DOI:10.1016/j.health.2022.100096

[34]	Classifying tumor brain images using parallel deep learning algorithms Computers in Biology and Medicine, 2022 DOI:10.1016/j.compbiomed.2022.105775

[35]	A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network Biomedical Signal Processing and Control, 2022 DOI:10.1016/j.bspc.2022.103949

[36]	Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification Multimedia Tools and Applications, 2022 DOI:10.1007/s11042-022-13994-7

[37]	Multilayer Stacked Probabilistic Belief Network-Based Brain Tumor Segmentation and Classification International Journal of Foundations of Computer Science, 2022 DOI:10.1142/S0129054122420047

[38]	Computational and Mathematical Methods in Medicine Glioma Brain Tumor Detection and Classification Using Convolutional Neural Network Computational and Mathematical Methods in Medicine, 2022 DOI:10.1155/2022/4380901

[39]	Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3071450

[40]	Run length encoding based wavelet features for COVID-19 detection in X-rays BJR\|Open, 2021 DOI:10.1259/bjro.20200028

[41]	Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review Computerized Medical Imaging and Graphics, 2021 DOI:10.1016/j.compmedimag.2021.101940

[42]	Advanced Machine Learning Approaches in Cancer Prognosis Intelligent Systems Reference Library, 2021 DOI:10.1007/978-3-030-71975-3_16

[43]	Role of deep learning in brain tumor detection and classification (2015 to 2020): A review Computerized Medical Imaging and Graphics, 2021 DOI:10.1016/j.compmedimag.2021.101940

[44]	Técnicas de inteligencia artificial aplicadas al análisis de imágenes diagnóstico Eco Matemático, 2021 DOI:10.22463/17948231.3237

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