A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans.

MLA

Sreedhar, Jinka, et al. “A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans.” International Journal of Imaging Systems & Technology, vol. 34, no. 5, Sept. 2024, pp. 1–15. EBSCOhost, https://doi.org/10.1002/ima.23186.

APA

Sreedhar, J., Dara, S., Srinivasulu, C. H., Katari, B. R., Alkhayyat, A., Vidyarthi, A., & Alsulami, M. M. (2024). A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans. International Journal of Imaging Systems & Technology, 34(5), 1–15. https://doi.org/10.1002/ima.23186

Chicago

Sreedhar, Jinka, Suresh Dara, C. H. Srinivasulu, Butchi Raju Katari, Ahmed Alkhayyat, Ankit Vidyarthi, and Mashael M. Alsulami. 2024. “A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans.” International Journal of Imaging Systems & Technology 34 (5): 1–15. doi:10.1002/ima.23186.