TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation

P Song, J Li, H Fan, L Fan - Computers in Biology and Medicine, 2023 - Elsevier
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis
and analysis. Currently, the successful application of Transformers' model in the field of …
被引用次数：4 相关文章

TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation

P Song, J Li, H Fan, L Fan - Computers in biology and medicine - pubmed.ncbi.nlm.nih.gov
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis
and analysis. Currently, the successful application of Transformers' model in the field of …

TGDAUNet:: Transformer and GCNN based dual-branch attention UNet for medical image segmentation

P Song, J Li, H Fan, L Fan - 2023 - dl.acm.org
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis
and analysis. Currently, the successful application of Transformers' model in the field of …

TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation.

P Song, J Li, H Fan, L Fan - Computers in Biology and Medicine, 2023 - europepmc.org
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis
and analysis. Currently, the successful application of Transformers' model in the field of …