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Title: :  Brain tumor detection using deep learning approaches
PaperId: :  25957
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-25957
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Saranya MKBannari Amman Institute of Technology
Nataraj NBannari Amman Institute of Technology

Abstract

Computer Engineering
Graph Neural Network, Multi-Scale Transformer, Brain Tumor, MRI, Deep Learning.
Brain tumors are one of the most critical neurological disorders requiring early diagnosis for effective treatment. The advancement in deep learning has significantly enhanced medical image analysis, providing automated and accurate detection solutions. This paper proposes a novel approach utilizing Graph Neural Networks (GNNs) and Multi-Scale Hybrid Transformers to detect and classify brain tumors from MRI scans. The GNNs capture spatial and relational dependencies within MRI images, while the hybrid transformer network extracts multi-scale features for improved classification accuracy. When compared to traditional deep learning methods, the suggested approach significantly improves accuracy, precision, recall, and F1-score when tested on a common benchmark dataset. The real-time implementation of the developed model in a clinical setting is also discussed, highlighting its potential for aiding radiologists in tumor detection and classification.

Citations

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IJARIIE Saranya MK, and Nataraj N. "Brain tumor detection using deep learning approaches" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 430-435
MLA Saranya MK, and Nataraj N. "Brain tumor detection using deep learning approaches." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 430-435.
APA Saranya MK, & Nataraj N. (2025). Brain tumor detection using deep learning approaches. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 430-435.
Chicago Saranya MK, and Nataraj N. "Brain tumor detection using deep learning approaches." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 430-435.
Oxford Saranya MK, and Nataraj N. 'Brain tumor detection using deep learning approaches', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 430-435. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Brain_tumor_detection_using_deep_learning_approaches_ijariie25957.pdf (Accessed : ).
Harvard Saranya MK, and Nataraj N. (2025) 'Brain tumor detection using deep learning approaches', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 430-435IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Brain_tumor_detection_using_deep_learning_approaches_ijariie25957.pdf (Accessed : )
IEEE Saranya MK, and Nataraj N, "Brain tumor detection using deep learning approaches," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 430-435, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Brain_tumor_detection_using_deep_learning_approaches_ijariie25957.pdf [Accessed : ].
Turabian Saranya MK, and Nataraj N. "Brain tumor detection using deep learning approaches." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver Saranya MK, and Nataraj N. Brain tumor detection using deep learning approaches. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 430-435. Available from: https://ijariie.com/AdminUploadPdf/Brain_tumor_detection_using_deep_learning_approaches_ijariie25957.pdf
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