Jinjing Zhang, Lijun Zhao 0002, Jianchao Zeng 0001, Pinle Qin. SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron. In Guang Yang 0006, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb, editors, Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Volume 13413 of Lecture Notes in Computer Science, pages 508-518, Springer, 2022. [doi]
@inproceedings{ZhangZZQ22,
title = {SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron},
author = {Jinjing Zhang and Lijun Zhao 0002 and Jianchao Zeng 0001 and Pinle Qin},
year = {2022},
doi = {10.1007/978-3-031-12053-4_38},
url = {https://doi.org/10.1007/978-3-031-12053-4_38},
researchr = {https://researchr.org/publication/ZhangZZQ22},
cites = {0},
citedby = {0},
pages = {508-518},
booktitle = {Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings},
editor = {Guang Yang 0006 and Angelica I. Avilés-Rivero and Michael Roberts and Carola-Bibiane Schönlieb},
volume = {13413},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-12053-4},
}