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Nuclei segmentation is a crucial task for whole slide image analysis in digital pathology.
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2019
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2019
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2019
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2019
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2019
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2019
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2019
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2020
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2020
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H. He, Z. Huang, Y. Ding, G. Song, L. Wang, Q. Ren, P. Wei, Z. Gao, and J. Chen, “CDNet: Centripetal direction network for nuclear instance segmentation,” in Proceedings of the IEEE International Conference on Computer Vision , 2021, pp. 4026–4035
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2022
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C. L. Srinidhi, S. W. Kim, F.-D. Chen, and A. L. Martel, “Self-supervised driven consistency training for annotation efficient histopathology image analysis,” Medical Image Analysis , vol. 75, p. 102256, 2022
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H. Che, H. Jin, and H. Chen, “Learning robust representation for joint grading of ophthalmic diseases via adaptive curriculum and feature disentanglement,” in International Conference on Medical Image Computing and Computer-Assisted Intervention . Springer, 2022, pp. 523–533
2022
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H. Wang, G. Xu, X. Pan, Z. Liu, R. Lan, and X. Luo, “Multi-task generative adversarial learning for nuclei segmentation with dual attention and recurrent convolution,” Biomedical Signal Processing and Control , vol. 75, p. 103558, 2022
2022
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H. Che, S. Chen, and H. Chen, “Image quality-aware diagnosis via meta-knowledge co-embedding,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 19 819–19 829
2023
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