Cita APA (7a ed.)
Akdemir, Z., Canayaz, M., Yalınkılıç, A., & Orak, S. (2026). Keros-Net: A convolutional block attention module–squeeze-and-excitation-integrated hybrid learning framework for olfactory fossa depth classification. Diagnostic & Interventional Radiology, 32(5), 600-608.
Cita Chicago Style (17a ed.)
Akdemir, Zülküf, Murat Canayaz, Abdulaziz Yalınkılıç, y Suat Orak. "Keros-Net: A Convolutional Block Attention Module–squeeze-and-excitation-integrated Hybrid Learning Framework for Olfactory Fossa Depth Classification." Diagnostic & Interventional Radiology 32, no. 5 (2026): 600-608.
Cita MLA (9a ed.)
Akdemir, Zülküf, et al. "Keros-Net: A Convolutional Block Attention Module–squeeze-and-excitation-integrated Hybrid Learning Framework for Olfactory Fossa Depth Classification." Diagnostic & Interventional Radiology, vol. 32, no. 5, 2026, pp. 600-608.
Precaución: Estas citas no son 100% exactas.