APA (7th ed.) Citation

Yang, J., Chen, H., Zhao, Y., Yang, F., Zhang, Y., He, L., & Yao, J. (2022). ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification. Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 13432, 35-45. https://doi.org/10.1007/978-3-031-16434-7_4

Chicago Style (17th ed.) Citation

Yang, Jiawei, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, and Jianhua Yao. "ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification." Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 13432 (2022): 35-45. https://doi.org/10.1007/978-3-031-16434-7_4.

MLA (9th ed.) Citation

Yang, Jiawei, et al. "ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification." Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, vol. 13432, 2022, pp. 35-45, https://doi.org/10.1007/978-3-031-16434-7_4.