Journal article
Nature, vol. 594, Nature Publishing Group, 2021, pp. 106--110
Computational Pathology and Molecular Diagnostics
Department of Pathology and Laboratory Medicine
Emory University School of Medicine
Computational Pathology and Molecular Diagnostics
Department of Pathology and Laboratory Medicine
Emory University School of Medicine
APA
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Lu, M. Y., Chen, T. Y., Williamson, D. F. K., Zhao, M., Shady, M., Lipkova, J., & Mahmood, F. (2021). AI-based pathology predicts origins for cancers of unknown primary. Nature, 594, 106–110.
Chicago/Turabian
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Lu, Ming Y, Tiffany Y Chen, Drew FK Williamson, Melissa Zhao, Maha Shady, Jana Lipkova, and Faisal Mahmood. “AI-Based Pathology Predicts Origins for Cancers of Unknown Primary.” Nature 594 (2021): 106–110.
MLA
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Lu, Ming Y., et al. “AI-Based Pathology Predicts Origins for Cancers of Unknown Primary.” Nature, vol. 594, Nature Publishing Group, 2021, pp. 106–10.
BibTeX Click to copy
@article{lu2021a,
title = {AI-based pathology predicts origins for cancers of unknown primary},
year = {2021},
journal = {Nature},
pages = {106--110},
publisher = {Nature Publishing Group},
volume = {594},
author = {Lu, Ming Y and Chen, Tiffany Y and Williamson, Drew FK and Zhao, Melissa and Shady, Maha and Lipkova, Jana and Mahmood, Faisal}
}