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1 | 1 | ## Dual-task Consistency |
2 | 2 | Code for this paper: Semi-supervised Medical Image Segmentation through Dual-task Consistency ([AAAI2021](https://arxiv.org/pdf/2009.04448.pdf)) |
3 | 3 |
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4 | | - @article{luo2021semi, |
5 | | - title={Semi-Supervised Medical Image Segmentation through Dual-task Consistency}, |
6 | | - author={Luo, Xiangde and Chen, Jieneng and Song, Tao and Wang, Guotai}, |
7 | | - journal={AAAI Conference on Artificial Intelligence}, |
| 4 | + @inproceedings{luo2021semi, |
| 5 | + title={Semi-supervised Medical Image Segmentation through Dual-task Consistency}, |
| 6 | + author={Luo, Xiangde and Chen, Jieneng and Song, Tao and Wang, Guotai}, |
| 7 | + booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, |
| 8 | + volume={35}, |
| 9 | + number={10}, |
| 10 | + pages={8801--8809}, |
8 | 11 | year={2021} |
9 | 12 | } |
10 | 13 |
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@@ -58,11 +61,11 @@ Our pre-trained models are saved in the model dir [DTC_model](https://github.com |
58 | 61 | |---|---|---|---|---|---|---| |
59 | 62 | |[UAMT](https://arxiv.org/pdf/1907.07034.pdf)|84.25|73.48|3.36|13.84|MICCAI2019|2019-10| |
60 | 63 | |[SASSNet](https://arxiv.org/pdf/2007.10732.pdf)|87.32|77.72|2.55|9.62|MICCAI2020|2020-07| |
61 | | -| [DTC*](https://arxiv.org/pdf/2009.04448.pdf)|86.57|76.55|3.74|14.47|AAAI2021|2020-09| |
| 64 | +| [DTC*](https://arxiv.org/pdf/2009.04448.pdf)|87.51|78.17|2.36|8.23|AAAI2021|2020-09| |
62 | 65 | |[LG-ER-MT](https://link.springer.com/chapter/10.1007/978-3-030-59710-8_55)|85.54|75.12|3.77|13.29|MICCAI2020|2020-10| |
63 | 66 | |[DUWM](https://link.springer.com/chapter/10.1007%2F978-3-030-59710-8_53)|85.91|75.75|3.31|12.67|MICCAI2020|2020-10| |
64 | 67 | |[MC-Net](https://arxiv.org/pdf/2103.02911.pdf)|87.71|78.31|2.18| 9.36|Arxiv|2021-03| |
65 | | -* Note that, * denotes the results from [MC-Net](https://arxiv.org/pdf/2103.02911.pdf) and the model has been openly available, thanks for [Yicheng](https://ycwu1997.github.io/eli/). |
| 68 | +* Note that, * denotes the results from [MC-Net](https://arxiv.org/pdf/2103.02911.pdf) and the model has been openly available (provided by Dr. YiCheng), thanks for [Dr. Yicheng](https://ycwu1997.github.io/eli/). |
66 | 69 |
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67 | 70 | ## Acknowledgement |
68 | 71 | * This code is adapted from [UA-MT](https://github.com/yulequan/UA-MT), [SASSNet](https://github.com/kleinzcy/SASSnet), [SegWithDistMap](https://github.com/JunMa11/SegWithDistMap). |
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