- Published
- 2021-03-01
- Venue
- Nature Biomedical Engineering, vol. 5, no. 6, pp. 555-570
- Cited by
- 2,264
- Open access
- Yes, green
- DOI
- 10.1038/s41551-020-00682-w
- PubMed
- 33649564
Cite this paper
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- APA 7
Lu, M. Y., Williamson, D. F. K., Chen, T., Chen, R. J., Barbieri, M., & Mahmood, F. (2021). Data-efficient and weakly supervised computational pathology on whole-slide images. Nature Biomedical Engineering, 5(6), 555–570. https://doi.org/10.1038/s41551-020-00682-w
- MLA 9
Lu, Ming Y., et al. "Data-efficient and weakly supervised computational pathology on whole-slide images." Nature Biomedical Engineering, vol. 5, no. 6, 2021, pp. 555–570, https://doi.org/10.1038/s41551-020-00682-w.
- Chicago
Lu, Ming Y., Drew F. K. Williamson, Tiffany Chen, Richard J. Chen, Matteo Barbieri, and Faisal Mahmood. "Data-efficient and weakly supervised computational pathology on whole-slide images." Nature Biomedical Engineering 5, no. 6 (2021): 555–570. https://doi.org/10.1038/s41551-020-00682-w.
- GOST
Lu M. Y., Williamson D. F. K., Chen T. [и др.] Data-efficient and weakly supervised computational pathology on whole-slide images // Nature Biomedical Engineering. — 2021. — Vol. 5, № 6. — P. 555–570. — URL: https://doi.org/10.1038/s41551-020-00682-w
- BibTeX
@article{lu2021dataefficient, title = {{Data-efficient and weakly supervised computational pathology on whole-slide images}}, author = {Ming Y. Lu and Drew F. K. Williamson and Tiffany Chen and Richard J. Chen and Matteo Barbieri and Faisal Mahmood}, journal = {Nature Biomedical Engineering}, year = {2021}, volume = {5}, number = {6}, pages = {555--570}, doi = {10.1038/s41551-020-00682-w}, url = {https://doi.org/10.1038/s41551-020-00682-w} }- RIS
TY - JOUR AU - Lu, Ming Y. AU - Williamson, Drew F. K. AU - Chen, Tiffany AU - Chen, Richard J. AU - Barbieri, Matteo AU - Mahmood, Faisal TI - Data-efficient and weakly supervised computational pathology on whole-slide images JO - Nature Biomedical Engineering VL - 5 IS - 6 SP - 555 EP - 570 PY - 2021 DA - 2021/03/01 DO - 10.1038/s41551-020-00682-w UR - https://doi.org/10.1038/s41551-020-00682-w ER -