Anari, S.; de Oliveira, G.G.; Ranjbarzadeh, R.; Alves, A.M.; Vaz, G.C.; Bendechache, M.
EfficientUNetViT: Efficient Breast Tumor Segmentation Utilizing UNet Architecture and Pretrained Vision Transformer. Bioengineering 2024, 11, 945.
https://doi.org/10.3390/bioengineering11090945
AMA Style
Anari S, de Oliveira GG, Ranjbarzadeh R, Alves AM, Vaz GC, Bendechache M.
EfficientUNetViT: Efficient Breast Tumor Segmentation Utilizing UNet Architecture and Pretrained Vision Transformer. Bioengineering. 2024; 11(9):945.
https://doi.org/10.3390/bioengineering11090945
Chicago/Turabian Style
Anari, Shokofeh, Gabriel Gomes de Oliveira, Ramin Ranjbarzadeh, Angela Maria Alves, Gabriel Caumo Vaz, and Malika Bendechache.
2024. "EfficientUNetViT: Efficient Breast Tumor Segmentation Utilizing UNet Architecture and Pretrained Vision Transformer" Bioengineering 11, no. 9: 945.
https://doi.org/10.3390/bioengineering11090945
APA Style
Anari, S., de Oliveira, G. G., Ranjbarzadeh, R., Alves, A. M., Vaz, G. C., & Bendechache, M.
(2024). EfficientUNetViT: Efficient Breast Tumor Segmentation Utilizing UNet Architecture and Pretrained Vision Transformer. Bioengineering, 11(9), 945.
https://doi.org/10.3390/bioengineering11090945
