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To spatially map single-cells from NSCLC tumour microenvironment using H&E images, an automated deep learning pipeline was used(2). The single-cell neighboring ensemble classifier was trained using 21,009 single-cell annotations by thoracic pathologists from NSCLC samples in the TRACERx100 cohort(3). ................
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