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: Thanh Han-Trong, Hinh Nguyen Van, Huong Nguyen Thi Thanh, Vu Tran Anh, Dung Nguyen Tuan, Luu Vu Dang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Applied Computational Intelligence and Soft Computing
Online Access:http://dx.doi.org/10.1155/2022/2092985
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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
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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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