Multi-field-of-view deep learning model predicts nonsmall cell lung cancer programmed death-ligand 1 status from whole-slide hematoxylin and eosin images
Background: Tumor programmed death-ligand 1 (PD-L1) status is useful in determining which patients may benefit from programmed death-1 (PD-1)/PD-L1 inhibitors. However, little is known about the association between PD-L1 status and tumor histopathological patterns. Using deep learning, we predicted...
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Main Authors: | Lingdao Sha (Author), Boleslaw L Osinski (Author), Irvin Y Ho (Author), Timothy L Tan (Author), Caleb Willis (Author), Hannah Weiss (Author), Nike Beaubier (Author), Brett M Mahon (Author), Tim J Taxter (Author), Stephen S F Yip (Author) |
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Format: | Book |
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Elsevier,
2019-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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