High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network
Objective. To localize and distinguish between benign and malignant tumors on MRI. Method. This work proposes a high-performance method for brain tumor feature extraction using a combination of complex network and U-Net architecture. And then, the common machine-learning algorithms are used to discr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2023-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2023/8843488 |
| _version_ | 1797671441229938688 |
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| author | Thanh Han Trong Hinh Nguyen Van Luu Vu Dang |
| author_facet | Thanh Han Trong Hinh Nguyen Van Luu Vu Dang |
| author_sort | Thanh Han Trong |
| collection | DOAJ |
| description | Objective. To localize and distinguish between benign and malignant tumors on MRI. Method. This work proposes a high-performance method for brain tumor feature extraction using a combination of complex network and U-Net architecture. And then, the common machine-learning algorithms are used to discriminate between benign and malignant tumors. Experiments and Results. The dataset of brain MRI of a total of 230 brain tumor patients in which 77 high-grade glioma patients and 153 low-grade glioma patients were processed. The results of classifying benign and malignant tumors achieved an accuracy of 99.84%. Conclusion. The high accuracy of experiment results demonstrates that the use of the complex network and U-Net architecture can significantly improve the accuracy of brain tumor classification. This method could potentially be useful for clinicians in aiding diagnosis and treatment planning for brain tumor patients. |
| first_indexed | 2024-03-11T21:15:34Z |
| format | Article |
| id | doaj.art-091c1f2bfbf94f7e9401ba2d62f6261d |
| institution | Directory Open Access Journal |
| issn | 1754-2103 |
| language | English |
| last_indexed | 2024-03-11T21:15:34Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj.art-091c1f2bfbf94f7e9401ba2d62f6261d2023-09-29T00:00:01ZengHindawi LimitedApplied Bionics and Biomechanics1754-21032023-01-01202310.1155/2023/8843488High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex NetworkThanh Han Trong0Hinh Nguyen Van1Luu Vu Dang2School of Electronics and TelecommunicationsDepartment of Science and Technology Management and International CooperationBach Mai HospitalObjective. To localize and distinguish between benign and malignant tumors on MRI. Method. This work proposes a high-performance method for brain tumor feature extraction using a combination of complex network and U-Net architecture. And then, the common machine-learning algorithms are used to discriminate between benign and malignant tumors. Experiments and Results. The dataset of brain MRI of a total of 230 brain tumor patients in which 77 high-grade glioma patients and 153 low-grade glioma patients were processed. The results of classifying benign and malignant tumors achieved an accuracy of 99.84%. Conclusion. The high accuracy of experiment results demonstrates that the use of the complex network and U-Net architecture can significantly improve the accuracy of brain tumor classification. This method could potentially be useful for clinicians in aiding diagnosis and treatment planning for brain tumor patients.http://dx.doi.org/10.1155/2023/8843488 |
| spellingShingle | Thanh Han Trong Hinh Nguyen Van Luu Vu Dang High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network Applied Bionics and Biomechanics |
| title | High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network |
| title_full | High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network |
| title_fullStr | High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network |
| title_full_unstemmed | High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network |
| title_short | High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network |
| title_sort | high performance method for brain tumor feature extraction in mri using complex network |
| url | http://dx.doi.org/10.1155/2023/8843488 |
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