P2.07-01. Deep-Learning Based Prediction of c-MET Status from Digitized H&E-Stained Non-Small Cell Lung Cancer Tissue Samples
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Bahar Rahsepar, United States
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Speaker Bahar Rahsepar, United States
Topic Pathology - Tumour Genomics
machine learning
c-MET overexpression
hematoxylin and eosin
non-small cell lung cancer
deep learning models
tissue and cell-type spatial information
human-interpretable image features
tumor microenvironment
lymphocytes density
graph neural network
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