%0 Journal Article %1 journals/cbm/AoSJMHJ24 %A Ao, Yu %A Shi, Weili %A Ji, Bai %A Miao, Yu %A He, Wei %A Jiang, Zhengang %D 2024 %J Comput. Biol. Medicine %K dblp %P 108057 %T MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation. %U http://dblp.uni-trier.de/db/journals/cbm/cbm170.html#AoSJMHJ24 %V 170

@article{journals/cbm/AoSJMHJ24, added-at = {2024-03-15T00:00:00.000+0100}, author = {Ao, Yu and Shi, Weili and Ji, Bai and Miao, Yu and He, Wei and Jiang, Zhengang}, biburl = {https://www.bibsonomy.org/bibtex/25285f2c3adfab76df435a1f6dc86cb16/dblp}, ee = {https://doi.org/10.1016/j.compbiomed.2024.108057}, interhash = {c3b227f9c7c007edc273a26344cf27a3}, intrahash = {5285f2c3adfab76df435a1f6dc86cb16}, journal = {Comput. Biol. Medicine}, keywords = {dblp}, month = {March}, pages = 108057, timestamp = {2024-04-09T02:44:29.000+0200}, title = {MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation.}, url = {http://dblp.uni-trier.de/db/journals/cbm/cbm170.html#AoSJMHJ24}, volume = 170, year = 2024 }