Ensemble Learning Driven Computer-Aided Diagnosis Model for Brain Tumor Classification on Magnetic Resonance Imaging

Author:

Vaiyapuri Thavavel1ORCID,Mahalingam Jaiganesh2,Ahmad Sultan3ORCID,Abdeljaber Hikmat A. M.4,Yang Eunmok5ORCID,Jeong Soo-Yong6ORCID

Affiliation:

1. College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Department of Information Technology, Karpagam College of Engineering, Myleripalayam, Coimbatore, India

3. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

4. Department of Computer Science, Faculty of Information Technology, Applied Science Private University, Amman, Jordan

5. Department of Financial Information Security, Kookmin University, Seoul, South Korea

6. Department of Convergence Science, Kongju National University, Chungcheongnam-do, South Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation

Korean Government (MSIT) (Research on AI-Based Cryptanalysis and Security Evaluation) and

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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. Advances and Challenges in Brain Tumor Classification and Segmentation: A Comprehensive Review;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

2. Deep Ensemble Feature Extraction based Classification of Brain Tumor using MRI Images;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

3. Brain Tumor Diagnosis Using Deep Learning: A Literature Review;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. A Novel DL Structure for Brain Tumor Identification Using MRI Images;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

5. Requirements for the Application of Artificial Intelligence in Diagnosing Autism Spectrum Disorder: Specialists’ Perception;Journal of Disability Research;2024

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