Automated Brain Tumor Classification System using Convolutional Neural Networks from MRI Images

Author:

Bala Diponkor1,Islam Mohammad Anwarul2,Hossain Mohammad Iqbal3,Mynuddin Mohammed4,Hossain Mohammad Alamgir1,Hossain Md. Shamim5

Affiliation:

1. Islamic University,Dept. of Computer Science and Engg.,Kushtia,Bangladesh,7003

2. Georgia Southern University,Department of Mathematical Sciences,Georgia,USA

3. North Carolina A&T State University,Dept. of Electrical and Computer Engg.,North Carolina,USA

4. Georgia Southern University,Dept. of Electrical and Computer Engg.,Georgia,USA

5. Uni. of Science and Technology of China,School of Computer Science and Tech.,Hefei,China

Funder

Google

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments;Bioengineering;2024-06-19

2. Automatic Network Intrusion Detection System Using Machine Learning and Deep Learning;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21

3. A review of distributed acoustic sensing applications for railroad condition monitoring;Mechanical Systems and Signal Processing;2024-02

4. An Improved Convolutional Neural Network Framework for Brain MRI Image Classification;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

5. Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muğla-Bodrum, Turkey;2023 10th International Conference on Recent Advances in Air and Space Technologies (RAST);2023-06-07

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