Multi-field-of-view deep learning model predicts nonsmall cell lung cancer programmed death-ligand 1 status from whole-slide hematoxylin and eosin images

• 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)
• Format: Book
• Published: Elsevier, 2019-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...