Detection and Classification of Brain Tumor Based on Multilevel Segmentation with Convolutional Neural Network

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Journal of Biomedical Science and Engineering

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

Google-based Impact Factor: 0.66
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"Detection and Classification of Brain Tumor Based on Multilevel Segmentation with Convolutional Neural Network"
written by Rafiqul Islam, Shah Imran, Md. Ashikuzzaman, Md. Munim Ali Khan,
published by Journal of Biomedical Science and Engineering, Vol.13 No.4, 2020

has been cited by the following article(s):

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[2]	An Enhanced Machine Learning Approach for Brain MRI Classification
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[3]	Brain MRI tumour classification using quantum classical convolutional neural net architecture
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[4]	Melanoma Skin Cancer and Nevus Mole Classification using Intensity Value Estimation with Convolutional Neural Network
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[5]	Dimensional Defect Detection Research on the Sculpture Surface Combining the Convolutional Neural Network and Gabor
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[6]	Performance Analysis of Deep Learning Techniques on Automatic Brain Tumour Grading
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[7]	An Enhanced Machine Learning Approach for Brain MRI Classification. Diagnostics 2022, 12, 2791
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[8]	Brain Tumour Patient Intensity Identification Using Artificial Neural Networks
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[9]	An Efficient Feature Extraction Technique for Brain Tumor Detection Using GUI
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[10]	基于三维卷积神经网络的肺结节探测与定位方法.
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[11]	Automatic Detection of Tumor Cell in Brain MRI Using Rough-Fuzzy Feature Selection with Support Vector Machine and Morphological Operation
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[12]	IMPLEMENTATION OF COVID-19 INFECTED LUNG SEGMENTATION USING LEVEL SET-BASED ACTIVE CONTOUR INTEGRATED WITH WATERSHED METHODS
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[13]	Compressed Sensing in Parallel MRI: A Review
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[14]	Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network
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[15]	Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review
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[16]	Convolutional Neural Network-based Enhancement Method of 3D MRI
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[17]	3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks
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[18]	集成多个密集连接二维卷积神经网络 (2D-CNNs) 分割模型的脑胶质瘤三维分割
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[19]	Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A
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[1]	Brain Tumor Classification and Detection Based DL Models: A Systematic Review IEEE Access, 2024 DOI:10.1109/ACCESS.2023.3347545

[2]	A hybrid deep CNN model for brain tumor image multi-classification BMC Medical Imaging, 2024 DOI:10.1186/s12880-024-01195-7

[3]	ResNet Repeat Vector Optimized Output Layer based Brain Stroke Prediction 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI), 2023 DOI:10.1109/ICAEECI58247.2023.10370938

[4]	Classification and Detection of Brain Tumors from Magnetic Resonance Imaging Scans using Deep Transfer-Learning 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), 2023 DOI:10.1109/ACCAI58221.2023.10200513

[5]	Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches International Journal of Imaging Systems and Technology, 2023 DOI:10.1002/ima.22877

[6]	A Review of Recent Advances in Brain Tumor Diagnosis Based on AI-Based Classification Diagnostics, 2023 DOI:10.3390/diagnostics13183007

[7]	A Convolutional Deep Neural Network Based Brain TumorDiagnoses Using Clustered Image and Feature-Supported Classifier (CIFC)Technique. Brazilian Archives of Biology and Technology, 2023 DOI:10.1590/1678-4324-2023230012

[8]	Brain MRI Image Analysis and Segmentation using Machine Learning International Journal of Scientific Research in Science, Engineering and Technology, 2023 DOI:10.32628/10.32628/IJSRSET12293142

[9]	Brain MRI tumour classification using quantum classical convolutional neural net architecture Neural Computing and Applications, 2023 DOI:10.1007/s00521-022-07939-2

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

[11]	Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches International Journal of Imaging Systems and Technology, 2023 DOI:10.1002/ima.22877

[12]	Brain tumor detection and classification based on machine learning systems ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH, 2023 DOI:10.1063/5.0126334

[13]	Enhancing Brain Tumor Detection Classification Accuracy with Computational Intelligence 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2023 DOI:10.1109/ICACITE57410.2023.10183088

[14]	Deep Neural Network based Algorithm for Stroke Prediction 2022 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), 2022 DOI:10.1109/ICRPSET57982.2022.10188552

[15]	Transfer Learning in Deep Neural Network Model of ECG Signal Classification 2022 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), 2022 DOI:10.1109/ICRPSET57982.2022.10188563

[16]	Transfer Learning Model in Deep Neural Network for COVID-19 Prediction from CT Images 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2022 DOI:10.1109/ICECTE57896.2022.10114517

[17]	Performance Analysis of Deep Learning Techniques on Automatic Brain Tumour Grading 2022 International Conference on Computer Communication and Informatics (ICCCI), 2022 DOI:10.1109/ICCCI54379.2022.9741034

[18]	Proceedings of Data Analytics and Management Lecture Notes on Data Engineering and Communications Technologies, 2022 DOI:10.1007/978-981-16-6289-8_36

[19]	Compressed Sensing in Parallel MRI: A Review International Journal of Image and Graphics, 2022 DOI:10.1142/S0219467822500383

[20]	Dimensional Defect Detection Research on the Sculpture Surface Combining the Convolutional Neural Network and Gabor Wireless Communications and Mobile Computing, 2022 DOI:10.1155/2022/8259265

[21]	Brain MRI tumour classification using quantum classical convolutional neural net architecture Neural Computing and Applications, 2022 DOI:10.1007/s00521-022-07939-2

[22]	An Enhanced Machine Learning Approach for Brain MRI Classification Diagnostics, 2022 DOI:10.3390/diagnostics12112791

[23]	Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network Complexity, 2021 DOI:10.1155/2021/6683255

[24]	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

[25]	Advanced Machine Learning Approaches in Cancer Prognosis Intelligent Systems Reference Library, 2021 DOI:10.1007/978-3-030-71975-3_8

[26]	3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks Journal of Zhejiang University-SCIENCE B, 2021 DOI:10.1631/jzus.B2000381

[27]	Convolutional Neural Network-based Enhancement Method of 3D MRI 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2021 DOI:10.1109/ICREST51555.2021.9331123

[28]	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

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