@article{Patil_2026, title={Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model}, volume={3}, ISSN={3048-5088}, url={http://dx.doi.org/10.63844/ijaitr.v3.i1.2026.142-146}, DOI={10.63844/ijaitr.v3.i1.2026.142-146}, number={1}, journal={International Journal of Advancement and Innovation in Technology and Research}, publisher={Acropolis Institute of Technology and Research}, author={Patil, Vinodkumar R. and Vaidya, Archana S. and Patil, Manisha S.}, year={2026}, month=jan, pages={142–146} }
Patil, V. R., Vaidya, A. S., & Patil, M. S. (2026). Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model. International Journal of Advancement and Innovation in Technology and Research, 3(1), 142–146. https://doi.org/10.63844/ijaitr.v3.i1.2026.142-146
[1]V. R. Patil, A. S. Vaidya, and M. S. Patil, “Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model,” International Journal of Advancement and Innovation in Technology and Research, vol. 3, no. 1, pp. 142–146, Jan. 2026, doi: 10.63844/ijaitr.v3.i1.2026.142-146.
Patil, Vinodkumar R., et al. “Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model.” International Journal of Advancement and Innovation in Technology and Research, vol. 3, no. 1, Jan. 2026, pp. 142–46. Crossref, https://doi.org/10.63844/ijaitr.v3.i1.2026.142-146.
1.Patil VR, Vaidya AS, Patil MS. Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model. International Journal of Advancement and Innovation in Technology and Research [Internet]. 2026 Jan 1;3(1):142–6. Available from: http://dx.doi.org/10.63844/ijaitr.v3.i1.2026.142-146
Patil, Vinodkumar R., Archana S. Vaidya, and Manisha S. Patil. “Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model.” International Journal of Advancement and Innovation in Technology and Research 3, no. 1 (January 1, 2026): 142–46. https://doi.org/10.63844/ijaitr.v3.i1.2026.142-146.
Patil, VR, Vaidya, AS & Patil, MS 2026, ‘Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model’, International Journal of Advancement and Innovation in Technology and Research, vol. 3, no. 1, Acropolis Institute of Technology and Research, pp. 142–146, viewed http://dx.doi.org/10.63844/ijaitr.v3.i1.2026.142-146.