MS-TCNet: An effective Transformer–CNN combined network using multi-scale feature learning for 3D medical image segmentation
Y Ao, W Shi, B Ji, Y Miao, W He, Z Jiang - Computers in Biology and …, 2024 - Elsevier
Medical image segmentation is a fundamental research problem in the field of medical
image processing. Recently, the Transformer have achieved highly competitive performance …
image processing. Recently, the Transformer have achieved highly competitive performance …
MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation
Y Ao, W Shi, B Ji, Y Miao, W He… - Computers in biology and … - pubmed.ncbi.nlm.nih.gov
Medical image segmentation is a fundamental research problem in the field of medical
image processing. Recently, the Transformer have achieved highly competitive performance …
image processing. Recently, the Transformer have achieved highly competitive performance …
MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation.
Y Ao, W Shi, B Ji, Y Miao, W He… - Computers in Biology and …, 2024 - europepmc.org
Medical image segmentation is a fundamental research problem in the field of medical
image processing. Recently, the Transformer have achieved highly competitive performance …
image processing. Recently, the Transformer have achieved highly competitive performance …