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Original Article
Brain Hemorrhage Detection Using Convolutional Neural Networks (CNNs)
R. Nivethitha1
A. Annalakshmi2
D. Beninal3
G. Gowri Sakthi4
1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. 234Final Year Students, Department of Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.
Published Online: March-April 2025
Pages: 116-118
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250602013References
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no. 6, pp. 710508, Apr. 2023.
2. A. A. Rao, S. S. R. Arora, and M. R. Jain, “RSNA Intracranial Hemorrhage Detection: A Machine Learning Approach,” Radiology,
vol. 302, no. 3, pp. 230-241, Jun. 2022.
3. M. A. Hussain, A. A. Ahmed, and H. A. Soliman, “Real-Time Brain Hemorrhage Detection with Convolutional Neural Networks and
Transfer Learning,” IEEE Trans. Neural Netw. Learn. Syst., vol. 33, no. 7, pp. 2806-2817, Jul. 2022
4. T. A. Khan, R. M. Islam, and L. S. Sabri, “AI in Brain Hemorrhage Detection: A Comparative Study of Different Neural Network
Architectures,” Med. Image Anal., vol. 58, pp. 101597, Feb. 2021.
5. A. S. Patel M. P. Singh,, and R. K. Mehta, “Improving Brain Hemorrhage Detection Using Deep Learning and Transfer Learning on
CT Scans,” Comput. Biol. Med., vol. 161, pp. 106379, Apr. 2024.
6. Y. P. Sharma, T. V. Ng, and M. S. Patel, “Advanced Convolutional Neural Networks for Multi -Class Brain Hemorrhage
Classification,” Med. Image Anal., vol. 80, pp. 102427, Jul. 2025.
7. C. B. Smith, P. S. Harrison, and L. J. Miller, “A Comparative Study of Deep Learning Models for Brain Hemorrhage Detection in CT
Imaging,” J. Digit. Imaging, vol. 37, no. 4, pp. 526-533, Jun. 2024.
8. T. Y. Liu, J. H. Lee, and R. P. Kumar, “Enhanced Brain Hemorrhage Detection Using Hybrid CNN-RNN Models on Longitudinal CT
Scan Data,” Comput. Methods Programs Biomed., vol. 211, pp. 106380, Apr. 2025.
9. D. R. Kumar, A. A. Garcia, and L. F. Thompson, “Real-Time Detection of Brain Hemorrhages in CT Imaging Using CNNs and Edge
Computing,” IEEE Access, vol. 13, pp. 14432-14441, Mar. 2024.
10. X. Wei, D. Y. Wang, and S. R. Fong, “Detection of Intracranial Hemorrhage Using Deep Convolutional Neural Networks,” IEEE
Trans. Biomed. Eng., vol. 66, no. 8, pp. 2257–2265, Aug. 2019.
no. 6, pp. 710508, Apr. 2023.
2. A. A. Rao, S. S. R. Arora, and M. R. Jain, “RSNA Intracranial Hemorrhage Detection: A Machine Learning Approach,” Radiology,
vol. 302, no. 3, pp. 230-241, Jun. 2022.
3. M. A. Hussain, A. A. Ahmed, and H. A. Soliman, “Real-Time Brain Hemorrhage Detection with Convolutional Neural Networks and
Transfer Learning,” IEEE Trans. Neural Netw. Learn. Syst., vol. 33, no. 7, pp. 2806-2817, Jul. 2022
4. T. A. Khan, R. M. Islam, and L. S. Sabri, “AI in Brain Hemorrhage Detection: A Comparative Study of Different Neural Network
Architectures,” Med. Image Anal., vol. 58, pp. 101597, Feb. 2021.
5. A. S. Patel M. P. Singh,, and R. K. Mehta, “Improving Brain Hemorrhage Detection Using Deep Learning and Transfer Learning on
CT Scans,” Comput. Biol. Med., vol. 161, pp. 106379, Apr. 2024.
6. Y. P. Sharma, T. V. Ng, and M. S. Patel, “Advanced Convolutional Neural Networks for Multi -Class Brain Hemorrhage
Classification,” Med. Image Anal., vol. 80, pp. 102427, Jul. 2025.
7. C. B. Smith, P. S. Harrison, and L. J. Miller, “A Comparative Study of Deep Learning Models for Brain Hemorrhage Detection in CT
Imaging,” J. Digit. Imaging, vol. 37, no. 4, pp. 526-533, Jun. 2024.
8. T. Y. Liu, J. H. Lee, and R. P. Kumar, “Enhanced Brain Hemorrhage Detection Using Hybrid CNN-RNN Models on Longitudinal CT
Scan Data,” Comput. Methods Programs Biomed., vol. 211, pp. 106380, Apr. 2025.
9. D. R. Kumar, A. A. Garcia, and L. F. Thompson, “Real-Time Detection of Brain Hemorrhages in CT Imaging Using CNNs and Edge
Computing,” IEEE Access, vol. 13, pp. 14432-14441, Mar. 2024.
10. X. Wei, D. Y. Wang, and S. R. Fong, “Detection of Intracranial Hemorrhage Using Deep Convolutional Neural Networks,” IEEE
Trans. Biomed. Eng., vol. 66, no. 8, pp. 2257–2265, Aug. 2019.
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