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title booktitle year volume series month publisher pdf url abstract layout issn id tex_title firstpage lastpage page order cycles bibtex_editor editor bibtex_author author date address container-title genre issued extras
MT2: Multi-task Mean Teacher for Semi-Supervised Cell Segmentation
Proceedings of the NeurIPS Challenge on Cell Segmentation in Muliti-modality Microscopy Images
2022
212
Proceedings of Machine Learning Research
0
PMLR
Cell segmentation is significant for downstream single-cell analysis in biological and biomedical research. Recently, image segmentation methods based on supervised learning have achieved promising results. However, most of them rely on intensive manual annotations, which are extremely time-consuming and expensive for cell segmentation. In addition, existing methods are often trained for a specific modality with poor generalization ability. In this paper, a novel semi-supervised cell segmentation method is proposed to segment microscopy images from multiple modalities. Specifically, Mean Teacher model is introduced to a multi-task learning framework, named Multi-task Mean Teacher (MT$^{2}$), in which both the classification and the regression heads are utilized to improve the prediction performance. Moreover, new data augmentation and multi-scale inference strategies are presented to enhance the robustness and generalization ability. For the quantitative evaluation on the Tuning Set of NeurIPS 2022 Cell Segmentation Competition, our method achieves the F1 Score of 0.8690, which demonstrates the effectiveness of the proposed semi-supervised learning method. Code is available at \url{https://github.com/djh-dzxw/MT2}
inproceedings
2640-3498
zhang23a
MT2: Multi-task Mean Teacher for Semi-Supervised Cell Segmentation
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13
1-13
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Ma, Jun and Xie, Ronald and Gupta, Anubha and Guilherme de Almeida, Jos\'e and Bader, Gary D. and Wang, Bo
given family
Jun
Ma
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Ronald
Xie
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Anubha
Gupta
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José
Almeida
Guilherme de
given family
Gary D.
Bader
given family
Bo
Wang
Zhang, Binyu and Dong, Junhao and Zhao, Zhicheng and Meng, Zhu and Su, Fei
given family
Binyu
Zhang
given family
Junhao
Dong
given family
Zhicheng
Zhao
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Zhu
Meng
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Fei
Su
2023-06-04
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images
inproceedings
date-parts
2023
6
4