An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks
This paper proposes a system to effectively identify brain tumors on MRI images using artificial intelligence algorithms and ADAS optimization function. This system is developed with the aim of assisting doctors in diagnosing one of the most dangerous diseases for humans. The data used in the study...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2022/2092985 |
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| _version_ | 1849692751126331392 |
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| author | Thanh Han-Trong Hinh Nguyen Van Huong Nguyen Thi Thanh Vu Tran Anh Dung Nguyen Tuan Luu Vu Dang |
| author_facet | Thanh Han-Trong Hinh Nguyen Van Huong Nguyen Thi Thanh Vu Tran Anh Dung Nguyen Tuan Luu Vu Dang |
| author_sort | Thanh Han-Trong |
| collection | DOAJ |
| description | This paper proposes a system to effectively identify brain tumors on MRI images using artificial intelligence algorithms and ADAS optimization function. This system is developed with the aim of assisting doctors in diagnosing one of the most dangerous diseases for humans. The data used in the study is patient image data collected from Bach Mai Hospital, Vietnam. The proposed approach includes two main steps. First, we propose the normalization method for brain MRI images to remove unnecessary components without affecting their information content. In the next step, Deep Convolutional Neural Networks are used and then we propose to apply ADAS optimization function to build predictive models based on that normalized dataset. From there, the results will be compared to choose the most optimal method. Those results of the evaluated algorithms through the coefficient F1-score are greater than 94% and the highest value is 97.65%. |
| format | Article |
| id | doaj-art-92829fb2a1914ccd9e85a907c61b95fa |
| institution | DOAJ |
| issn | 1687-9732 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-92829fb2a1914ccd9e85a907c61b95fa2025-08-20T03:20:37ZengWileyApplied Computational Intelligence and Soft Computing1687-97322022-01-01202210.1155/2022/2092985An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural NetworksThanh Han-Trong0Hinh Nguyen Van1Huong Nguyen Thi Thanh2Vu Tran Anh3Dung Nguyen Tuan4Luu Vu Dang5School of Electrical and Electronic EngineeringSchool of Electrical and Electronic EngineeringSchool of Electrical and Electronic EngineeringSchool of Electrical and Electronic EngineeringBach Mai HospitalBach Mai HospitalThis paper proposes a system to effectively identify brain tumors on MRI images using artificial intelligence algorithms and ADAS optimization function. This system is developed with the aim of assisting doctors in diagnosing one of the most dangerous diseases for humans. The data used in the study is patient image data collected from Bach Mai Hospital, Vietnam. The proposed approach includes two main steps. First, we propose the normalization method for brain MRI images to remove unnecessary components without affecting their information content. In the next step, Deep Convolutional Neural Networks are used and then we propose to apply ADAS optimization function to build predictive models based on that normalized dataset. From there, the results will be compared to choose the most optimal method. Those results of the evaluated algorithms through the coefficient F1-score are greater than 94% and the highest value is 97.65%.http://dx.doi.org/10.1155/2022/2092985 |
| spellingShingle | Thanh Han-Trong Hinh Nguyen Van Huong Nguyen Thi Thanh Vu Tran Anh Dung Nguyen Tuan Luu Vu Dang An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks Applied Computational Intelligence and Soft Computing |
| title | An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks |
| title_full | An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks |
| title_fullStr | An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks |
| title_full_unstemmed | An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks |
| title_short | An Efficient Method for Diagnosing Brain Tumors Based on MRI Images Using Deep Convolutional Neural Networks |
| title_sort | efficient method for diagnosing brain tumors based on mri images using deep convolutional neural networks |
| url | http://dx.doi.org/10.1155/2022/2092985 |
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