APA (7th ed.) Citation

M, S., & A, G. (2026). Vision Transformers-Based Deep Feature Generation Framework for Hydatid Cyst Classification in Computed Tomography Images. Journal of imaging informatics in medicine, 39(2), 1352. https://doi.org/10.1007/s10278-025-01602-7

Chicago Style (17th ed.) Citation

M, Sagik, and Gumus A. "Vision Transformers-Based Deep Feature Generation Framework for Hydatid Cyst Classification in Computed Tomography Images." Journal of Imaging Informatics in Medicine 39, no. 2 (2026): 1352. https://doi.org/10.1007/s10278-025-01602-7.

MLA (9th ed.) Citation

M, Sagik, and Gumus A. "Vision Transformers-Based Deep Feature Generation Framework for Hydatid Cyst Classification in Computed Tomography Images." Journal of Imaging Informatics in Medicine, vol. 39, no. 2, 2026, p. 1352, https://doi.org/10.1007/s10278-025-01602-7.