This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Miller, K. D., Ostrom, Q. T., Kruchko, C., Patil, N., Tihan, T., Cioffi, G., Fuchs, H. E., Waite, K. A., Jemal, A., Siegel, R. L., Barnholtz-Sloan, J. S. (2021). Brain and other central nervous system tumor statistics, 2021. CA: A Cancer Journal For Clinicians, 71 (5), 381-406. https://doi.org/10.3322/caac.21693Search in Google Scholar
Amin, J., Sharif, M., Raza, M., Saba, T., Anjum, M. A. (2019). Brain tumor detection using statistical and machine learning method. Computer Methods and Programs in Biomedicine, 177 (3), 69-79. https://doi.org/10.1016/j.cmpb.2019.05.015Search in Google Scholar
Ibrahim, I. M., Abdulazeez, A. M. (2021). The role of machine learning algorithms for diagnosing diseases. Journal of Application Science and Technology Trends, 2 (1), 10-19. https://doi.org/10.38094/jastt20179Search in Google Scholar
Jacily Jemila, S., Jayasankar, T. (2011). An automated cancer recognition system for MRI images using neuro fuzzy logic. International Journal of Computer Information Systems, 2 (5), 18-22. ISSN 2229-5208.Search in Google Scholar
Rashid, M., Khan, M. A., Alhaisoni, M., Wang, S.-H., Naqvi, S. R., Rehman, A., Saba, T. (2020). A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection. Sustainability, 12 (12), 5037. https://doi.org/10.3390/su12125037Search in Google Scholar
Agrawal, T., Choudhary, P., Shankar, A., Singh, P., Diwakar, M. (2024). MultiFeNet: Multi‐scale feature scaling in deep neural network for the brain tumour classification in MRI images. International Journal of Imaging Systems and Technology, 34 (1), e22956. https://doi.org/10.1002/ima.22956Search in Google Scholar
Ranjbarzadeh, R., Zarbakhsh, P., Caputo, A., Tirkolaee, E. B., Bendechache, M. (2024). Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm. Computers in Biology and Medicine, 168, 107723. https://doi.org/10.1016/j.compbiomed.2023.107723Search in Google Scholar
Kurdi, S. Z., Ali, M. H., Jaber, M. M., Saba, T., Rehman, A., Damaševičius, R. (2023). Brain tumor classification using meta-heuristic optimized convolutional neural networks. Journal of Personalized Medicine, 13 (2), 181. https://doi.org/10.3390/jpm13020181Search in Google Scholar
Shajin, F. H., Salini, P., Rajesh, P., Nagoji Rao, V. K. (2023). Efficient framework for brain tumour classification using hierarchical deep learning neural network classifier. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11 (3), 750-757. https://doi.org/10.1080/21681163.2022.2111719Search in Google Scholar
Rahman, T., Islam, M. S. (2023). MRI brain tumor detection and classification using parallel deep convolutional neural networks. Measurement: Sensors, 26, 100694. https://doi.org/10.1016/j.measen.2023.100694Search in Google Scholar
Tazin, T., Sarker, S., Gupta, P., Ayaz, F. I., Islam, S., Khan, M. M., Bourouis, S., Idris, S. A., Alshazly, H. (2023). Retracted: A robust and novel approach for brain tumor classification using convolutional neural network. Computational Intelligence and Neuroscience, 2023, 9760861. https://doi.org/10.1155/2023/9760861Search in Google Scholar