Zihan Li, Dihan Li, Cangbai Xu, Weice Wang, Qingqi Hong, Qingde Li, Jie Tian 0001. TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation. In Elias Pimenidis, Plamen P. Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin 0001, editors, Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV. Volume 13532 of Lecture Notes in Computer Science, pages 781-792, Springer, 2022. [doi]
@inproceedings{LiLXWHLT22,
title = {TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation},
author = {Zihan Li and Dihan Li and Cangbai Xu and Weice Wang and Qingqi Hong and Qingde Li and Jie Tian 0001},
year = {2022},
doi = {10.1007/978-3-031-15937-4_65},
url = {https://doi.org/10.1007/978-3-031-15937-4_65},
researchr = {https://researchr.org/publication/LiLXWHLT22},
cites = {0},
citedby = {0},
pages = {781-792},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV},
editor = {Elias Pimenidis and Plamen P. Angelov and Chrisina Jayne and Antonios Papaleonidas and Mehmet Aydin 0001},
volume = {13532},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-15937-4},
}