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Poster

Deep-Learning–Based Prediction of c-MET Status From Digitized H&E-Stained Non-small Cell Lung Cancer Tissue Samples

WCLC 2022

Study Background

Objective:

To develop a machine learning (ML)-powered method that identifies c-MET overexpression status directly from hematoxylin and eosin (H&E)-stained non-small cell lung cancer (NSCLC) samples.
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Authors

Rajan et al.