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Original Article
Smart Neuro-Vision: A Deep Learning Framework for Brain Tumor Segmentation and Classification Using U- Net and ResNet-101
Reshma Tukaram Bavdane1
S.B.Patil2
1 Department of Electronics & Telecommunication, D Y Patil College of Engineering and Technology, Maharashtra, India. 2 Associate Professor, Department of Electronics & Telecommunication, D Y Patil College of Engineering and Technology, Maharashtra, India.
Published Online: July-August 2026
Pages: 168-174
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260604019
References
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Applied Sciences, vol. 15, no. 10, Art. no. 5412, 2025.
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by a comprehensive study on transfer learning techniques and model efficiency using MRI datasets," IEEE Access, vol. 12, pp. 100407–
100418, 2024.
4. M. Wageh, K. Amin, A. D. Algarni, A. M. Hamad, and M. Ibrahim, "Brain tumor detection based on deep features concatenation and
machine learning classifiers with genetic selection," IEEE Access, vol. 12, pp. 114923–114939, 2024.
5. M. Aamir, A. Namoun, S. Munir, N. Aljohani, M. H. Alanazi, Y. Alsahafi, and F. Alotibi, "Brain tumor detection and classification using
an optimized convolutional neural network," Diagnostics, vol. 14, no. 16, Art. no. 1714, 2024.
6. Z. Atha and J. Chaki, "SSBTCNet: Semi-supervised brain tumor classification network," IEEE Access, vol. 11, pp. 141485–141499, 2023.
7. S. Solanki, U. P. Singh, S. S. Chouhan, and S. Jain, "Brain tumor detection and classification using intelligence techniques: An overview,"
IEEE Access, vol. 11, pp. 12870–12886, 2023.
8. J. Chaki and M. Woźniak, "Brain tumor categorization and retrieval using deep brain Incep Res architecture based reinforcement learning
network," IEEE Access, vol. 12, pp. 130584–130600, 2024.
9. S. E. Nassar, I. Yasser, H. M. Amer, and M. A. Mohamed, "A robust MRI-based brain tumor classification via a hybrid deep learning
technique," The Journal of Supercomputing, vol. 80, pp. 2403–2427, 2024.
10. M. A. Talukder, M. M. Islam, and M. A. Uddin, "An optimized ensemble deep learning model for brain tumor classification," arXiv
preprint arXiv: 2305.12844, 2024.
enabled Healthcare 5.0 using deep machine learning: Alzheimer's disease as a case study," IEEE Access, vol. 13, pp. 14252–14272, 2025.
2. E. Gundogan, "A novel hybrid deep learning model enhanced with explainable AI for brain tumor multi-classification from MRI images,"
Applied Sciences, vol. 15, no. 10, Art. no. 5412, 2025.
3. N. Shamshad, D. Sarwr, A. Almogren, K. Saleem, A. Munawar, A. U. Rehman, and S. Bharany, "Enhancing brain tumor classification
by a comprehensive study on transfer learning techniques and model efficiency using MRI datasets," IEEE Access, vol. 12, pp. 100407–
100418, 2024.
4. M. Wageh, K. Amin, A. D. Algarni, A. M. Hamad, and M. Ibrahim, "Brain tumor detection based on deep features concatenation and
machine learning classifiers with genetic selection," IEEE Access, vol. 12, pp. 114923–114939, 2024.
5. M. Aamir, A. Namoun, S. Munir, N. Aljohani, M. H. Alanazi, Y. Alsahafi, and F. Alotibi, "Brain tumor detection and classification using
an optimized convolutional neural network," Diagnostics, vol. 14, no. 16, Art. no. 1714, 2024.
6. Z. Atha and J. Chaki, "SSBTCNet: Semi-supervised brain tumor classification network," IEEE Access, vol. 11, pp. 141485–141499, 2023.
7. S. Solanki, U. P. Singh, S. S. Chouhan, and S. Jain, "Brain tumor detection and classification using intelligence techniques: An overview,"
IEEE Access, vol. 11, pp. 12870–12886, 2023.
8. J. Chaki and M. Woźniak, "Brain tumor categorization and retrieval using deep brain Incep Res architecture based reinforcement learning
network," IEEE Access, vol. 12, pp. 130584–130600, 2024.
9. S. E. Nassar, I. Yasser, H. M. Amer, and M. A. Mohamed, "A robust MRI-based brain tumor classification via a hybrid deep learning
technique," The Journal of Supercomputing, vol. 80, pp. 2403–2427, 2024.
10. M. A. Talukder, M. M. Islam, and M. A. Uddin, "An optimized ensemble deep learning model for brain tumor classification," arXiv
preprint arXiv: 2305.12844, 2024.
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