SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer's disease using spectrograms.

MLA

Bravo-Ortiz, Mario Alejandro, et al. “SpectroCVT-Net: A Convolutional Vision Transformer Architecture and Channel Attention for Classifying Alzheimer’s Disease Using Spectrograms.” Computers in Biology and Medicine, vol. 181, Oct. 2024, p. 109022. EBSCOhost, https://doi.org/10.1016/j.compbiomed.2024.109022.

APA

Bravo-Ortiz, M. A., Guevara-Navarro, E., Holguín-García, S. A., Rivera-Garcia, M., Cardona-Morales, O., Ruz, G. A., & Tabares-Soto, R. (2024). SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms. Computers in Biology and Medicine, 181, 109022. https://doi.org/10.1016/j.compbiomed.2024.109022

Chicago

Bravo-Ortiz, Mario Alejandro, Ernesto Guevara-Navarro, Sergio Alejandro Holguín-García, Mariana Rivera-Garcia, Oscar Cardona-Morales, Gonzalo A Ruz, and Reinel Tabares-Soto. 2024. “SpectroCVT-Net: A Convolutional Vision Transformer Architecture and Channel Attention for Classifying Alzheimer’s Disease Using Spectrograms.” Computers in Biology and Medicine 181 (October): 109022. doi:10.1016/j.compbiomed.2024.109022.