| Residential College | false |
| Status | 即將出版Forthcoming |
| MixFormer: a Mixed CNN-Transformer Backbone for Medical Image Segmentation | |
LIU JUN1; LI KUNQI1; HUANG CHUN1; DONG HUA1; SONG YUSHENG2; LI RIHUI3,4 
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| 2024-08 | |
| Source Publication | IEEE Transactions on Instrumentation & Measurement
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| Indexed By | SCIE |
| Language | 英語English |
| Document Type | Journal article |
| Collection | INSTITUTE OF COLLABORATIVE INNOVATION |
| Corresponding Author | LI RIHUI |
| Affiliation | 1.Department of Information Engineering, Nanchang Hangkong University, Nanchang, Jiangxi, 330063, China. 2.Department of Interventional Radiology, The People's Hospital of Ganzhou, Ganzhou, Jiangxi, 341000, China 3.Center for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Taipa, Macau 4.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau |
| Corresponding Author Affilication | INSTITUTE OF COLLABORATIVE INNOVATION; Faculty of Science and Technology |
| Recommended Citation GB/T 7714 | LIU JUN,LI KUNQI,HUANG CHUN,et al. MixFormer: a Mixed CNN-Transformer Backbone for Medical Image Segmentation[J]. IEEE Transactions on Instrumentation & Measurement, 2024. |
| APA | LIU JUN., LI KUNQI., HUANG CHUN., DONG HUA., SONG YUSHENG., & LI RIHUI (2024). MixFormer: a Mixed CNN-Transformer Backbone for Medical Image Segmentation. IEEE Transactions on Instrumentation & Measurement. |
| MLA | LIU JUN,et al."MixFormer: a Mixed CNN-Transformer Backbone for Medical Image Segmentation".IEEE Transactions on Instrumentation & Measurement (2024). |
| Files in This Item: | There are no files associated with this item. | |||||
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